Data for the "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes" project (doi:10.7910/DVN/VAFYV1)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Data for the "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes" project

doi:10.7910/DVN/VAFYV1

Harvard Dataverse

2021-01-28

5

Karthik Muralidharan; Paul Niehaus; Sandip Sukhtankar; Jeffrey Weaver, 2021, "Data for the "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes" project", https://doi.org/10.7910/DVN/VAFYV1, Harvard Dataverse, V5, UNF:6:Z3flQeyQU4wx/I/5YWw93g== [fileUNF]

Data for the "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes" project

doi:10.7910/DVN/VAFYV1

Karthik Muralidharan (University of California, San Diego)

Paul Niehaus (University of California, San Diego)

Sandip Sukhtankar (University of Virginia)

Jeffrey Weaver (University of Southern California)

Harvard Dataverse

Akanksha Saletore

Cavanagh, Jack

2021-01-28

https://doi.org/10.7910/DVN/VAFYV1

Social Sciences

This package contains data for the RCT "Targeted Unconditional Framed Cash Transfers for Early Childhood Health and Nutrition Outcomes." The package includes data from the first two phases of the trial, conducted between September 2018 and December 2019 in 8 districts in a single Indian state. The datasets contain cleaned data from surveys given at the household level, and include anthropometric and reported data on mothers and children. Observations are at the child level. For further details on the data, please see the readme file.

• Number of cases: 5159

• No. of variables per record: 299

• Type of File: text/tab-separated-values

UNF:6:igZJnJx73zCHEEFV3qs3zQ==

• Number of cases: 3142

• No. of variables per record: 82

• Type of File: text/tab-separated-values

UNF:6:cD9xqtuO/sNrHSYU111btw==

• Number of cases: 3160

• No. of variables per record: 421

• Type of File: text/tab-separated-values

UNF:6:J6wrtKyhmdJMCg/idCN6YA==

• Number of cases: 3315

• No. of variables per record: 58

• Type of File: text/tab-separated-values

UNF:6:GCkWgk+Y1BrCIIj+y6dBDg==

• Number of cases: 3142

• No. of variables per record: 78

• Type of File: text/tab-separated-values

UNF:6:+UxKdAqvPX17fzgMotXWbw==

• Number of cases: 3142

• No. of variables per record: 369

• Type of File: text/tab-separated-values

UNF:6:j7/7ZKfP0SGP7RCIbQ9Oag==

• Number of cases: 1586

• No. of variables per record: 215

• Type of File: text/tab-separated-values

UNF:6:Vx0cpYWyc0EBlR8fGdIsKg==

• Number of cases: 2122

• No. of variables per record: 69

• Type of File: text/tab-separated-values

UNF:6:amxt5le1uApFz/vJ74rqCA==

• Number of cases: 2142

• No. of variables per record: 446

• Type of File: text/tab-separated-values

UNF:6:P9wOcZcmgSeF0il7XEOScA==

• Number of cases: 2440

• No. of variables per record: 49

• Type of File: text/tab-separated-values

UNF:6:zOCoeH5FSVHutLgQpPcDNQ==

• Number of cases: 2440

• No. of variables per record: 211

• Type of File: text/tab-separated-values

UNF:6:xbf2GmWgJz9mOXV8r98E/Q==

• Number of cases: 4136

• No. of variables per record: 285

• Type of File: text/tab-separated-values

UNF:6:nwN8Ph+rtpEG32jbs8iFEw==

• awc_code - Anganwadi code
• uid - Unique ID
• trackingbaby_sex - Gender of tracking baby
• trackingbaby_age - Age of tracking baby
• a7_6_twin - Does the tracking baby have a twin brother/sister who is alive?
• twin_sex - Gender of twin child
• twin_age - Age of twin child
• a1_child_size - A1) How many children do you have?
• a5_ben_relatn_1 - A5.1) Relationship between hh member #1 and respondent
• a4_gender_1 - A4.1) Sex of hh member #1
• a6_hh_age_chck_1 - A6.1) Is hh member #1 older than 2 years of age?
• a6_hh_membr_age_adl_1 - A6.1.1) Age of hh member #1 in years
• a6_hh_membr_age_inf_1 - A6.2.1) Age of hh member #1 in months
• a6_child_present_1 - A6) Is child #1 present at home today?
• a6_child_present_rvst_1 - A6) Is child #1 present at home right now?
• a8_exclusively_bf_1 - A7.1) Is child #1 exclusively breastfed?
• a7_5_chld_elgb_1 - A7.2) Did child #1 have meals at the house yesterday?
• a5_ben_relatn_2 - A5.2) Relationship between hh member #2 and respondent
• a4_gender_2 - A4.2) Sex of hh member #2
• a6_hh_age_chck_2 - A6.2) Is hh member #2 older than 2 years of age?
• a6_hh_membr_age_adl_2 - A6.1.2) Age of hh member #2 in years
• a6_hh_membr_age_inf_2 - A6.2.2) Age of hh member #2 in months
• a6_child_present_2 - A6) Is child #2 present at home today?
• a6_child_present_rvst_2 - A6) Is child #2 present at home right now?
• a8_exclusively_bf_2 - A7.1) Is child #2 exclusively breastfed?
• a7_5_chld_elgb_2 - A7.2) Did child #2 have meals at the house yesterday?
• a5_ben_relatn_3 - A5.3) Relationship between hh member #3 and respondent
• a4_gender_3 - A4.3) Sex of hh member #3
• a6_hh_age_chck_3 - A6.3) Is hh member #3 older than 2 years of age?
• a6_hh_membr_age_adl_3 - A6.1.3) Age of hh member #3 in years
• a6_hh_membr_age_inf_3 - A6.2.3) Age of hh member #3 in months
• a6_child_present_3 - A6) Is child #3 present at home today?
• a6_child_present_rvst_3 - A6) Is child #3 present at home right now?
• a8_exclusively_bf_3 - A7.1) Is child #3 exclusively breastfed?
• a7_5_chld_elgb_3 - A7.2) Did child #3 have meals at the house yesterday?
• a5_ben_relatn_4 - A5.4) Relationship between hh member #4 and respondent
• a4_gender_4 - A4.4) Sex of hh member #4
• a6_hh_age_chck_4 - A6.4) Is hh member #4 older than 2 years of age?
• a6_hh_membr_age_adl_4 - A6.1.4) Age of hh member #4 in years
• a6_hh_membr_age_inf_4 - A6.2.4) Age of hh member #4 in months
• a6_child_present_4 - A6) Is child #4 present at home today?
• a6_child_present_rvst_4 - A6) Is child #4 present at home right now?
• a8_exclusively_bf_4 - A7.1) Is child #4 exclusively breastfed?
• a7_5_chld_elgb_4 - A7.2) Did child #4 have meals at the house yesterday?
• a5_ben_relatn_5 - A5.5) Relationship between hh member #5 and respondent
• a4_gender_5 - A4.5) Sex of hh member #5
• a6_hh_age_chck_5 - A6.5) Is hh member #5 older than 2 years of age?
• a6_hh_membr_age_adl_5 - A6.1.5) Age of hh member #5 in years
• a6_hh_membr_age_inf_5 - A6.2.5) Age of hh member #5 in months
• a6_child_present_5 - A6) Is child #5 present at home today?
• a6_child_present_rvst_5 - A6) Is child #5 present at home right now?
• a8_exclusively_bf_5 - A7.1) Is child #5 exclusively breastfed?
• a7_5_chld_elgb_5 - A7.2) Did child #5 have meals at the house yesterday?
• a5_ben_relatn_6 - A5.6) Relationship between hh member #6 and respondent
• a4_gender_6 - A4.6) Sex of hh member #6
• a6_hh_age_chck_6 - A6.6) Is hh member #6 older than 2 years of age?
• a6_hh_membr_age_adl_6 - A6.1.6) Age of hh member #6 in years
• a6_hh_membr_age_inf_6 - A6.2.6) Age of hh member #6 in months
• a6_child_present_6 - A6) Is child #6 present at home today?
• a6_child_present_rvst_6 - A6) Is child #6 present at home right now?
• a8_exclusively_bf_6 - A7.1) Is child #6 exclusively breastfed?
• a7_5_chld_elgb_6 - A7.2) Did child #6 have meals at the house yesterday?
• a5_ben_relatn_7 - A5.7) Relationship between hh member #7 and respondent
• a4_gender_7 - A4.7) Sex of hh member #7
• a6_hh_age_chck_7 - A6.7) Is hh member #7 older than 2 years of age?
• a6_hh_membr_age_adl_7 - A6.1.7) Age of hh member #7 in years
• a6_hh_membr_age_inf_7 - A6.2.7) Age of hh member #7 in months
• a6_child_present_7 - A6) Is child #7 present at home today?
• a6_child_present_rvst_7 - A6) Is child #7 present at home right now?
• a8_exclusively_bf_7 - A7.1) Is child #7 exclusively breastfed?
• a7_5_chld_elgb_7 - A7.2) Did child #7 have meals at the house yesterday?
• a5_ben_relatn_8 - A5.8) Relationship between hh member #8 and respondent
• a4_gender_8 - A4.8) Sex of hh member #8
• a6_hh_age_chck_8 - A6.8) Is hh member #8 older than 2 years of age?
• a6_hh_membr_age_adl_8 - A6.1.8) Age of hh member #8 in years
• a6_hh_membr_age_inf_8 - A6.2.8) Age of hh member #8 in months
• a6_child_present_8 - A6) Is child #8 present at home today?
• a6_child_present_rvst_8 - A6) Is child #8 present at home right now?
• a8_exclusively_bf_8 - A7.1) Is child #8 exclusively breastfed?
• a7_5_chld_elgb_8 - A7.2) Did child #8 have meals at the house yesterday?
• a5_ben_relatn_9 - A5.9) Relationship between hh member #9 and respondent
• a4_gender_9 - A4.9) Sex of hh member #9
• a6_hh_age_chck_9 - A6.9) Is hh member #9 older than 2 years of age?
• a6_hh_membr_age_adl_9 - A6.1.9) Age of hh member #9 in years
• a6_hh_membr_age_inf_9 - A6.2.9) Age of hh member #9 in months
• a6_child_present_9 - A6) Is child #9 present at home today?
• a6_child_present_rvst_9 - A6) Is child #9 present at home right now?
• a8_exclusively_bf_9 - A7.1) Is child #9 exclusively breastfed?
• a7_5_chld_elgb_9 - A7.2) Did child #9 have meals at the house yesterday?
• c1_cereal_1_rc1 - Did random child #1 eat roti yesterday?
• c2_qty_roti_rc1 - How many rotis did random child eat?
• c1_cereal_2_rc1 - Did random child eat rice yesterday?
• c1_rice_utensil - Which utensil do you use to serve rice?
• c1_qty_rice_rc1 - How many utensils of rice did random child eat?
• c1_fruit_1_rc1 - Did random child eat jackfruit or papaya sabzi yesterday?
• c1_orange_2_rc1 - Did random child eat any orange fruits yesterday?
• c1_fruit_2_rc1 - Did random child eat any other fruits yesterday?
• c1_milk_1_rc1 - Did random child consume any milk yesterday?
• c1_milk_2_rc1 - Did random child drink any lassi or chhas yesterday?
• g1_sev_yn - Surveyor to fill: Is the Respondent the sevika herself?
• g5_hcm_usage_week - How many days have your children received hot cooked meals at the AWC over the l
• g5_hcm_rm_week - Have you received and used the raw materials for hot cooked meals at the AWC ove
• g_3_2_hot_ckd_meal - In the past year have you availed hot cooked meals for any of your children?
• g7_dryration - Over the last month did you received any dry rations from the AWC?
• e1_drinking_water_source - E1) What is the main source of drinking water for this household?
• e2_1_toilet_yn - E2) Does your household have a toilet?
• e2_toilet - E2) Does your household use a toilet?
• e3_toilet_location - E3) Where is the nearest toilet located?
• e4_handwash - E4) Does your household have a handwashing station?
• e5_neighbours_have - Do your neighbours have a toilet in their house?
• e6_neighbours_use - Do your neighbours mostly use latrines or do they mostly defecate in the open?
• itms_hh_bed - I5.1) How many do you own of: Beds/cots
• itms_hh_tv - I5.2) How many do you own of: Color TVs
• itms_hh_vehicle2 - I5.3) How many do you own of: 2 wheeler vehicles
• itms_hh_vehicle4 - I5.4) How many do you own of: 4 wheeler vehicles
• itms_hh_chair - I5.5) How many do you own of: Chairs
• itms_hh_bicycle - I5.6) How many do you own of: Bicycles
• itms_hh_mobile - I5.7) How many do you own of: Mobile phones
• itms_hh_cooker - I5.8) How many do you own of: Pressure cookers
• itms_hh_chicken - I5.9) How many do you own of: Chickens
• itms_hh_goats - I5.10) How many do you own of: Goats
• itms_hh_cows - I5.11) How many do you own of: Cows
• b1_hight_t1 - E1.1) Record mother's height
• b1_hight_t2 - E1.2) Record mother's height
• b1_hight_t3 - E1.3) Record mother's height
• b7_height_t1_rc1 - Enter random child #1's height (in kilos, trial 1)'
• b7_height_t2_rc1 - Enter random child #1's height (in kilos, trial 2)'
• b7_height_t3_rc1 - Enter random child #1's height (in kilos, trial 3)'
• b10_child_unwell_today_rc1 - B8) Is random child # unwell today?
• b7_height_t1_rc2 - Enter random child #2's height (in kilos, trial 1)'
• b7_height_t2_rc2 - Enter random child #2's height (in kilos, trial 2)'
• b7_height_t3_rc2 - Enter random child #2's height (in kilos, trial 3)'
• b10_child_unwell_today_rc2 - B8) Is random child # unwell today?
• b7_height_t1_rc3 - Enter random child #3's height (in kilos, trial 1)'
• b7_height_t2_rc3 - Enter random child #3's height (in kilos, trial 2)'
• b7_height_t3_rc3 - Enter random child #3's height (in kilos, trial 3)'
• b10_child_unwell_today_rc3 - B8) Is random child # unwell today?
• chld_wgt_t1_c1_1 - B1.3) Tracking baby's weight only (in kilos, trial 1)
• chld_wgt_t2_c1_1 - B2.3) Tracking baby's weight only (in kilos, trial 2)
• chld_wgt_t3_c1_1 - B3.3) Tracking baby's weight only (in kilos, trial 3)
• chld_wgt_t1_c2_1 - B1.3) Twin's weight only (in kilos, trial 1)
• chld_wgt_t2_c2_1 - B2.3) Twin's weight only (in kilos, trial 2)
• chld_wgt_t3_c2_1 - B3.3) Twin's weight only (in kilos, trial 3)
• mothr_wgt_t1_rc1 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• mothr_chld_wgt_t1_rc1 - B1.3) Respondent and random child together (in kilos, trial 1)
• chld_wgt_t1_1_rc1 - B1.3) Random child #1's weight only (in kilos, trial 1)
• mothr_wgt_t2_rc1 - B2.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• mothr_chld_wgt_t2_rc1 - B2.3) Respondent and random child together (in kilos, trial 2)
• chld_wgt_t2_1_rc1 - B2.3) Random child #1's weight only (in kilos, trial 2)
• mothr_chld_wgt_t3_rc1 - B3.3) Respondent and random child together (in kilos, trial 3)
• chld_wgt_t3_1_rc1 - B3.3) Random child #1's weight only (in kilos, trial 3)
• mothr_wgt_t1_rc2 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• mothr_chld_wgt_t1_rc2 - B1.3) Respondent and random child together (in kilos, trial 1)
• chld_wgt_t1_1_rc2 - B1.3) Random child #2's weight only (in kilos, trial 1)
• mothr_wgt_t2_rc2 - B2.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• mothr_chld_wgt_t2_rc2 - B2.3) Respondent and random child together (in kilos, trial 2)
• chld_wgt_t2_1_rc2 - B2.3) Random child #2's weight only (in kilos, trial 2)
• mothr_chld_wgt_t3_rc2 - B3.3) Respondent and random child together (in kilos, trial 3)
• chld_wgt_t3_1_rc2 - B3.3) Random child #2's weight only (in kilos, trial 3)
• mothr_wgt_t1_rc3 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• mothr_chld_wgt_t1_rc3 - B1.3) Respondent and random child together (in kilos, trial 1)
• chld_wgt_t1_1_rc3 - B1.3) Random child #3's weight only (in kilos, trial 1)
• mothr_wgt_t2_rc3 - B2.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• mothr_chld_wgt_t2_rc3 - B2.3) Respondent and random child together (in kilos, trial 2)
• chld_wgt_t2_1_rc3 - B2.3) Random child #3's weight only (in kilos, trial 2)
• mothr_chld_wgt_t3_rc3 - B3.3) Respondent and random child together (in kilos, trial 3)
• chld_wgt_t3_1_rc3 - B3.3) Random child #3's weight only (in kilos, trial 3)
• faeces_yard - Observable faeces in the yard
• wastewater - Wastewater in the street
• sewage_ditch - Sewage ditch nearby
• rc1_height - Random child #1 height, in cms
• rc2_height - Random child #2 height, in cms
• rc3_height - Random child #3 height, in cms
• rc1_weight - Random child #1 weight, in kilos
• rc2_weight - Random child #2 weight, in kilos
• rc3_weight - Random child #3 weight, in kilos
• child_age_mnth_rc1 - Random child #1 age (in months)
• child_age_mnth_rc2 - Random child #2 age (in months)
• child_age_mnth_rc3 - Random child #3 age (in months)
• haz_rc1 - Random child #1 height-for-age z-score
• waz_rc1 - Random child #1 weight-for-age z-score
• whz_rc1 - Random child #1 weight-for-height z-score
• rc1_height_meters - Random child #1 height, in ms
• bmi_rc1 - Random child #1 BMI
• bmiz_rc1 - Random child #1 BMI z-score
• haz_rc2 - Random child #2 height-for-age z-score
• waz_rc2 - Random child #2 weight-for-age z-score
• whz_rc2 - Random child #2 weight-for-height z-score
• rc2_height_meters - Random child #2 height, in ms
• bmi_rc2 - Random child #2 BMI
• bmiz_rc2 - Random child #2 BMI z-score
• haz_rc3 - Random child #3 height-for-age z-score
• waz_rc3 - Random child #3 weight-for-age z-score
• whz_rc3 - Random child #3 weight-for-height z-score
• rc3_height_meters - Random child #3 height, in ms
• bmi_rc3 - Random child #3 BMI
• bmiz_rc3 - Random child #3 BMI z-score
• sev_stunt_rc1 - Is random child #1 severely stunted?
• sev_wast_rc1 - Is random child #1 severely wasted?
• sev_stunt_rc2 - Is random child #2 severely stunted?
• sev_wast_rc2 - Is random child #2 severely wasted?
• sev_stunt_rc3 - Is random child #3 severely stunted?
• sev_wast_rc3 - Is random child #3 severely wasted?
• d1_name - When you ask 'What is your name?' Does your child say her name?
• d1_othernames - Can your child tell the name of two or more family members or playmates? (Say yo
• d1_village - Can your child tell the correct name of the village/tola/block he stays in?
• d1_date - Can your child tell the day of the week?
• d1_count5 - Can your child count to 5? (If they can but mix up the order take as sometimes)
• d1_count10 - Can your child count to 10? (If they can but mix up the order take as sometimes)
• d1_count20 - Can your child count to 20? (If they can but mix up the order take as sometimes)
• d1_colours - Can your child name the primary colours (red, yellow, blue)?
• d1_stairs - Does your child walk either up or down at least two steps of stairs by herself w
• d1_kick - Without holding anything for support, does your child kick a ball by swinging he
• d1_catch - Does your child catch a large ball with both hands?
• d1_serve - Does your child serve herself, taking food from one container to another using u
• d1_unbutton - Does your child unbutton one or more buttons? This could be their own clothing o
• d1_holding - Does your child use a pencil, crayon or pen for writing or drawing and holds it
• d1_draw - Can your child draw a basic figure? (Say drawing of a person, scenery, house, su
• d1_brush - Does your child brush her teeth by putting toothpaste on the toothbrush and brus
• d1_fold - Can your child do paper folding?
• child_cognitionscore - Child cognition score
• child_cereal_1 - Did the tracking child eat roti yesterday?
• child_qty_roti - How many rotis did child eat?
• child_cereal_2 - Did tracking child eat rice yesterday?
• child_qty_rice - How many utensils of rice did child eat?
• child_cereal_3 - Did tracking child eat rice-based products yesterday?
• child_cereal_4 - Did tracking child eat bread or biscuits yesterday?
• child_cereal_5 - Did tracking child eat chowmein, maggi, or noodles yesterday?
• child_cereal_6 - Did tracking child eat any other grains yesterday?
• child_legume_1 - Did tracking child eat dal yesterday?
• child_dal_qty - How many serving spoons of dal did child have?
• child_legume_2 - Did tracking child eat satto yesterday?
• child_legume_3 - Did tracking child eat soyabean dal or soyabean chunks yesterday?
• child_legume_4 - Did tracking child eat nuts yesterday?
• child_tuber_1 - Did tracking child eat potatoes or sweet potatoes yesterday?
• child_tuber_2 - Did tracking child eat breadfruit, yam, lotus root, turnip, water chesnut, or gr
• child_fruit_1 - Did tracking child eat jackfruit or papaya sabzi yesterday?
• child_dglveg_1 - Did tracking child eat any green leafy vegetables yesterday?
• child_othveg_1 - Did tracking child eat any food that contained onion or tomato yesterday?
• child_orange_1 - Did tracking child eat any orange vegetables yesterday?
• child_othveg_2 - Did tracking child eat any other type of vegetable yesterday?
• child_orange_2 - Did tracking child eat any orange fruits yesterday?
• child_fruit_2 - Did tracking child eat any other fruits yesterday?
• nveg_screener - Did tracking child have any non-vegetables yesterday?
• child_nveg_1 - Did tracking child eat any eggs yesterday?
• child_egg_qty - How many eggs did tracing child have?
• child_nveg_2 - Did tracking child eat any non-vegetables yesterday?
• child_nveg_3 - Did tracking child eat kidney or liver yesterday?
• child_nveg_4 - Did tracking child eat any seafood yesterday?
• child_fats_1 - Did tracking child eat any oil, ghee, or butter yesterday?
• child_spices_1 - Did tracking child eat any chilli or spices yesterday?
• child_spices_2 - Did tracking child eat any pickle or chutney yesterday?
• child_spices_3 - Did tracking child drink any tea or coffee yesterday?
• child_spices_4 - Did tracking child drink any cola, sherbet, or juice yesterday?
• child_spices_5 - Did tracking child drink any Horlics or protein powder yesterday?
• child_sweets_1 - Did tracking child eat kheer, halwa, laddo, or mithai yesterday?
• child_sweets_2 - Did tracking child eat cake, chocolate, or ice cream yesterday?
• child_milk_1 - Did tracking child consume any milk yesterday?
• child_milk_qty - How many glasses of milk did tracking child have?
• child_milk_3 - Did tracking child consume any milk products yesterday?
• child_milk_2 - Did tracking child drink any lassi or chhas yesterday?
• child_junk_1 - Did tracking child eat any chips or kurkure yesterday?
• b7_height_t1 - B7.1) Child's height (in cms, trial 1)
• b7_height_t2 - B7.2) Child's height (in cms, trial 2)
• b7_height_t3 - B7.3) Child's height (in cms, trial 3)
• b10_child_unwell_today - B10) Is the child unwell today?
• mothr_wgt_t1 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• mothr_chld_wgt_t1 - B1.3) Respondent and tracking child together (in kilos, trial 1)
• mothr_wgt_t2 - B2.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• mothr_chld_wgt_t2 - B2.3) Respondent and tracking child together (in kilos, trial 2)
• mothr_chld_wgt_t3 - B3.3) Respondent and tracking child together (in kilos, trial 3)
• chld_hgt - Child's height in cms
• haz - Child's height-for-age z-score
• waz - Child's weight-for-age z-score
• whz - Child's weight-for-height z-score
• bmiz - Child's BMI z-score
• chld_wgt - Child's weight, in kilos
• child_age_mnth - Child's age in months
• child_height_meters - Child's height, in ms
• bmi - Child's BMI
• sev_stunt - Is this child severely stunted?
• sev_wast - Is this child severely wasted?
• mddmgrains - Minimum dietary diversity: Did the respondent consume grains yesterday?
• mddmlegumesnuts - Minimum dietary diversity: Did the respondent consume legumes or nuts yesterday?
• mddmdairy - Minimum dietary diversity: Did the respondent consume dairy yesterday?
• mddmfleshfood - Minimum dietary diversity: Did the respondent consume flesh foods yesterday?
• mddmeggs - Minimum dietary diversity: Did the respondent consume eggs yesterday?
• mddmvitamina - Minimum dietary diversity: Did the respondent consume fruits or veg rich in vita
• mddmotherfruitveg - Minimum dietary diversity: Did the respondent consume other fruits or veg yester
• dd_index_child_score - Child's dietary diversity index
• min_dd_child - Did the child meet the minimum dietary diversity?
• low_waz - Does this child have low WAZ?
• low_haz - Does this child have low HAZ?
• low_whz - Does this child have low WHZ?
• low_bmiz - Does this child have low BMIZ?
• not_sev_stunted - Is thie child not severely stunted?
• not_stunted - Is this child not stunted?
• not_sev_wasted - Is this child not severely wasted?
• not_wasted - Is this child not wasted?
• awc_code - Anganwadi code
• uid - Unique ID
• a0_twin - Does this child have a twin?
• a2_infant_sex - A2) Child gender
• a7_2_infant_mob - A7.2) Month in which the child was born
• a7_3_infant_yob - A7.3) Year in which the child was born
• child_age_mnth - Age of child in months (rounded)
• b1_1_mothr_wgt_t1 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• b1_2_mthr_chld_wgt_t1 - B1.2) Respondent and Child together (in kilos, trial 1)
• b1_3_child_wgt_t1 - B1.2) Child's weight (in kilos, trial 1)
• b2_1_mothr_wgt_t2 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• b2_2_mthr_chld_wgt_t2 - B2.2) Respondent and Child together (in kilos, trial 2)
• b2_3_child_wgt_t2 - B1.2) Child's weight (in kilos, trial 2)
• b3_1_mothr_wgt_t3 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 3)
• b3_2_mthr_chld_wgt_t3 - B3.2) Respondent and Child together (in kilos, trial 3)
• b3_3_child_wgt_t3 - B1.2) Child's weight (in kilos, trial 3)
• mothr_wgt - Mother's weight, in kilos
• child_wgt - Child's weight, in kilos
• waz - Child's weight-for-age z-score
• b4_preg_yesno - Are you currently pregnant?
• b4_1_preg_age - Which trimester are you currently in?
• b5_heavy_drss_yesno - Did the respondent wear heavy materials during the measurment?
• b5_1_heavy_drss_1 - Was the respondent wearing a jacket while being measured?
• b5_1_heavy_drss_2 - Was the respondent wearing a sweater while being measured?
• b5_1_heavy_drss_3 - Was the respondent wearing a heavy shawl while being measured?
• b5_1_heavy_drss_4 - Was the respondent wearing heavy blanket or quilt while being measured?
• b5_1_heavy_drss_5 - Was the respondent wearing heavy sari while being measured?
• b5_1_heavy_drss_6 - Was the respondent wearing heavy jewellery while being measured?
• b5_1_heavy_drss__87 - Was the respondent wearing other heavy clothing item(s)
• b6_flat_srfc - Was a flat surface available in the household to keep the weighing scale for mea
• b7_height_t1 - B7.1) Child's height (in cms, trial 1)
• b7_height_t2 - B7.2) Child's height (in cms, trial 2)
• b7_height_t3 - B7.3) Child's height (in cms, trial 3)
• child_hgt - Child's height in cms
• haz - Child's height-for-age z-score
• whz - Child's weight-for-height-for-age z-score
• bmiz - Child's BMI z-score
• b9_knees_pressed - B9) Were the child's knees pressed to the mat?
• b10_child_unwell_today - B10) Is the child unwell today?
• b11_child_unwell_1 - Was your child unwell today with: Cold/Cough/Fever
• b11_child_unwell_2 - Was your child unwell today with: Diarrhea/ Vomiting/ Stomach infections
• b11_child_unwell_3 - Was your child unwell today with: Malaria/ Jaundice/ Dengue/ Other vector borne
• b11_child_unwell_4 - Was your child unwell today with: Measles/ Chickenpox
• b11_child_unwell_5 - Was your child unwell today with: Pneumonia
• b11_child_unwell_6 - Was your child unwell today with: Physical injuries/ fracture
• b11_child_unwell__87 - Was your child unwell today with: Other
• b11_child_unwell__88 - Was your child unwell today with: Did not know
• b11_child_unwell__89 - Was your child unwell today with: Did not answer
• b12_older_siblings - B12) How many older siblings does the child have?
• b13_younger_siblings - B13) How many younger siblings does the child have?
• c1_child_unwell - C1) Was the child unwell in the last 3 months?
• c2_child_disease_1 - In the last 3 months did your child have: Cold/Cough/Fever
• c2_child_disease_2 - In the last 3 months did your child have: Diarrhea/ Vomiting/ Stomach infections
• c2_child_disease_3 - In the last 3 months did your child have: Malaria/ Jaundice/ Dengue/ Other vecto
• c2_child_disease_4 - In the last 3 months did your child have: Measles/ Chickenpox
• c2_child_disease_5 - In the last 3 months did your child have: Pneumonia
• c2_child_disease_6 - In the last 3 months did your child have: Physical injuries/ fracture
• c2_child_disease_7 - In the last 3 months did your child have: Skin infection
• c2_child_disease_8 - In the last 3 months did your child have: Sarfata
• c2_child_disease_9 - In the last 3 months did your child have: Critical illness such as cancer, heart
• c2_child_disease_10 - In the last 3 months did your child have: Typhoid
• c2_child_disease__87 - In the last 3 months did your child have: Other
• c2_child_disease__88 - In the last 3 months did your child have: Did not know
• c2_child_disease__89 - In the last 3 months did your child have: Did not answer
• c3_1_child_doc_gov - C3.1) Government Doctor/ Hospital/ Clinic/ PHC
• c3_2_child_doc_pvt - C3.2) Private Doctor/ Hospital/ Clinic
• c3_3_child_anm - C3.3) ANM/ Sub-centre
• c3_4_child_quac - C3.4) Jholawala/ Bengali Doctor/ Chemist
• c3_5_child_healr - C3.5) Village healer/ Witch-doctor
• c3_6_child_self_med - C3.6) Self medication
• c3_7_home_rem - C3.7) Home remedies (like giving tulsi leaves, ghee, garlic, etc) In the last 3
• childid - childID
• d1_first_born - D1) Is this your first child?
• d2_pmmvy_register - D2) Did the sevika register you for the PMMVY scheme - through which you get Rs.
• d3_rec_pmmvy_transfer - D3) Have you received any transfers through this scheme?
• d4_pmmvy_transfer_amt - D4) How much money have you received?
• d5_withdraw_pmmvy_transfer - D5) Did you withdraw this money?
• e1_drinking_water_source - E1) What is the main source of drinking water for this household?
• e2_1_toilet_yn - E2) Does your household have a toilet?
• e2_toilet - E2) Does your household use a toilet?
• e3_toilet_location - E3) Where is the nearest toilet located?
• e4_handwash - E4) Does your household have a handwashing station?
• uid - Unique ID
• awc_code - AWC code
• a1_hh_size - A.1) How many members are there in your HH?
• a4_gender_1 - A4.1) Sex of hh member #1
• a5_ben_relatn_1 - A5.1) Relationship between hh member #1 and respondent
• a6_hh_age_chck_1 - A6.1) Is hh member #1 an adult or infant?
• a6_hh_membr_age_adl_1 - A6.1.1) Age of hh member #1 in years (if adult)
• a7_5_oth_child_age_1 - A7.2.1) Age of child (in years)
• a4_gender_2 - A4.2) Sex of hh member #2
• a5_ben_relatn_2 - A5.2) Relationship between hh member #2 and respondent
• a6_hh_age_chck_2 - A6.2) Is hh member #2 an adult or infant?
• a6_hh_membr_age_adl_2 - A6.1.2) Age of hh member #2 in years (if adult)
• a6_hh_membr_age_inf_2 - A6.1.2) Age of hh member #2 in months (if infant)
• a7_4_mcp_yn_2 - A7.2) Can you show me hh member #2's MCP card?
• a7_4_1_mcp_count_2 - A7.1.2) Number of immunisations for hh member #2
• a7_5_oth_child_age_2 - A7.2.2) Age of child (in years)
• a4_gender_3 - A4.3) Sex of hh member #3
• a5_ben_relatn_3 - A5.3) Relationship between hh member #3 and respondent
• a6_hh_age_chck_3 - A6.3) Is hh member #3 an adult or infant?
• a6_hh_membr_age_adl_3 - A6.1.3) Age of hh member #3 in years (if adult)
• a6_hh_membr_age_inf_3 - A6.1.3) Age of hh member #3 in months (if infant)
• a7_4_mcp_yn_3 - A7.3) Can you show me hh member #3's MCP card?
• a7_4_1_mcp_count_3 - A7.1.3) Number of immunisations for hh member #3
• a7_5_oth_child_age_3 - A7.2.3) Age of child (in years)
• a4_gender_4 - A4.4) Sex of hh member #4
• a5_ben_relatn_4 - A5.4) Relationship between hh member #4 and respondent
• a6_hh_age_chck_4 - A6.4) Is hh member #4 an adult or infant?
• a6_hh_membr_age_adl_4 - A6.1.4) Age of hh member #4 in years (if adult)
• a6_hh_membr_age_inf_4 - A6.1.4) Age of hh member #4 in months (if infant)
• a7_4_mcp_yn_4 - A7.4) Can you show me hh member #4's MCP card?
• a7_4_1_mcp_count_4 - A7.1.4) Number of immunisations for hh member #4
• a4_gender_5 - A4.5) Sex of hh member #5
• a5_ben_relatn_5 - A5.5) Relationship between hh member #5 and respondent
• a6_hh_age_chck_5 - A6.5) Is hh member #5 an adult or infant?
• a6_hh_membr_age_adl_5 - A6.1.5) Age of hh member #5 in years (if adult)
• a6_hh_membr_age_inf_5 - A6.1.5) Age of hh member #5 in months (if infant)
• a7_4_mcp_yn_5 - A7.5) Can you show me hh member #5's MCP card?
• a7_4_1_mcp_count_5 - A7.1.5) Number of immunisations for hh member #5
• a4_gender_6 - A4.6) Sex of hh member #6
• a5_ben_relatn_6 - A5.6) Relationship between hh member #6 and respondent
• a6_hh_age_chck_6 - A6.6) Is hh member #6 an adult or infant?
• a6_hh_membr_age_adl_6 - A6.1.6) Age of hh member #6 in years (if adult)
• a6_hh_membr_age_inf_6 - A6.1.6) Age of hh member #6 in months (if infant)
• a7_4_mcp_yn_6 - A7.6) Can you show me hh member #6's MCP card?
• a7_4_1_mcp_count_6 - A7.1.6) Number of immunisations for hh member #6
• a4_gender_7 - A4.7) Sex of hh member #7
• a5_ben_relatn_7 - A5.7) Relationship between hh member #7 and respondent
• a6_hh_age_chck_7 - A6.7) Is hh member #7 an adult or infant?
• a6_hh_membr_age_adl_7 - A6.1.7) Age of hh member #7 in years (if adult)
• a6_hh_membr_age_inf_7 - A6.1.7) Age of hh member #7 in months (if infant)
• a7_4_mcp_yn_7 - A7.7) Can you show me hh member #7's MCP card?
• a7_4_1_mcp_count_7 - A7.1.7) Number of immunisations for hh member #7
• a4_gender_8 - A4.8) Sex of hh member #8
• a5_ben_relatn_8 - A5.8) Relationship between hh member #8 and respondent
• a6_hh_age_chck_8 - A6.8) Is hh member #8 an adult or infant?
• a6_hh_membr_age_adl_8 - A6.1.8) Age of hh member #8 in years (if adult)
• a6_hh_membr_age_inf_8 - A6.1.8) Age of hh member #8 in months (if infant)
• a7_4_mcp_yn_8 - A7.8) Can you show me hh member #8's MCP card?
• a7_4_1_mcp_count_8 - A7.1.8) Number of immunisations for hh member #8
• a4_gender_9 - A4.9) Sex of hh member #9
• a5_ben_relatn_9 - A5.9) Relationship between hh member #9 and respondent
• a6_hh_age_chck_9 - A6.9) Is hh member #9 an adult or infant?
• a6_hh_membr_age_adl_9 - A6.1.9) Age of hh member #9 in years (if adult)
• a6_hh_membr_age_inf_9 - A6.1.9) Age of hh member #9 in months (if infant)
• a7_4_mcp_yn_9 - A7.9) Can you show me hh member #9's MCP card?
• a7_4_1_mcp_count_9 - A7.1.9) Number of immunisations for hh member #9
• a4_gender_10 - A4.10) Sex of hh member #10
• a5_ben_relatn_10 - A5.10) Relationship between hh member #10 and respondent
• a6_hh_age_chck_10 - A6.10) Is hh member #10 an adult or infant?
• a6_hh_membr_age_adl_10 - A6.1.10) Age of hh member #10 in years (if adult)
• a6_hh_membr_age_inf_10 - A6.1.10) Age of hh member #10 in months (if infant)
• a7_4_mcp_yn_10 - A7.10) Can you show me hh member #10's MCP card?
• a7_4_1_mcp_count_10 - A7.1.10) Number of immunisations for hh member #10
• a4_gender_11 - A4.11) Sex of hh member #11
• a5_ben_relatn_11 - A5.11) Relationship between hh member #11 and respondent
• a6_hh_age_chck_11 - A6.11) Is hh member #11 an adult or infant?
• a6_hh_membr_age_adl_11 - A6.1.11) Age of hh member #11 in years (if adult)
• a6_hh_membr_age_inf_11 - A6.1.11) Age of hh member #11 in months (if infant)
• a7_4_mcp_yn_11 - A7.11) Can you show me hh member #11's MCP card?
• a7_4_1_mcp_count_11 - A7.1.11) Number of immunisations for hh member #11
• a4_gender_12 - A4.12) Sex of hh member #12
• a5_ben_relatn_12 - A5.12) Relationship between hh member #12 and respondent
• a6_hh_age_chck_12 - A6.12) Is hh member #12 an adult or infant?
• a6_hh_membr_age_adl_12 - A6.1.12) Age of hh member #12 in years (if adult)
• a6_hh_membr_age_inf_12 - A6.1.12) Age of hh member #12 in months (if infant)
• a7_4_mcp_yn_12 - A7.12) Can you show me hh member #12's MCP card?
• a7_4_1_mcp_count_12 - A7.1.12) Number of immunisations for hh member #12
• a4_gender_13 - A4.13) Sex of hh member #13
• a5_ben_relatn_13 - A5.13) Relationship between hh member #13 and respondent
• a6_hh_age_chck_13 - A6.13) Is hh member #13 an adult or infant?
• a6_hh_membr_age_adl_13 - A6.1.13) Age of hh member #13 in years (if adult)
• a6_hh_membr_age_inf_13 - A6.1.13) Age of hh member #13 in months (if infant)
• a7_4_mcp_yn_13 - A7.13) Can you show me hh member #13's MCP card?
• a7_4_1_mcp_count_13 - A7.1.13) Number of immunisations for hh member #13
• a4_gender_14 - A4.14) Sex of hh member #14
• a5_ben_relatn_14 - A5.14) Relationship between hh member #14 and respondent
• a6_hh_age_chck_14 - A6.14) Is hh member #14 an adult or infant?
• a6_hh_membr_age_adl_14 - A6.1.14) Age of hh member #14 in years (if adult)
• a6_hh_membr_age_inf_14 - A6.1.14) Age of hh member #14 in months (if infant)
• a7_4_mcp_yn_14 - A7.14) Can you show me hh member #14's MCP card?
• a7_4_1_mcp_count_14 - A7.1.14) Number of immunisations for hh member #14
• a4_gender_15 - A4.15) Sex of hh member #15
• a5_ben_relatn_15 - A5.15) Relationship between hh member #15 and respondent
• a6_hh_age_chck_15 - A6.15) Is hh member #15 an adult or infant?
• a6_hh_membr_age_adl_15 - A6.1.15) Age of hh member #15 in years (if adult)
• a6_hh_membr_age_inf_15 - A6.1.15) Age of hh member #15 in months (if infant)
• a7_4_mcp_yn_15 - A7.15) Can you show me hh member #15's MCP card?
• a7_4_1_mcp_count_15 - A7.1.15) Number of immunisations for hh member #15
• a4_gender_16 - A4.16) Sex of hh member #16
• a5_ben_relatn_16 - A5.16) Relationship between hh member #16 and respondent
• a6_hh_age_chck_16 - A6.16) Is hh member #16 an adult or infant?
• a6_hh_membr_age_adl_16 - A6.1.16) Age of hh member #16 in years (if adult)
• a6_hh_membr_age_inf_16 - A6.1.16) Age of hh member #16 in months (if infant)
• a7_4_mcp_yn_16 - A7.16) Can you show me hh member #16's MCP card?
• a7_4_1_mcp_count_16 - A7.1.16) Number of immunisations for hh member #16
• a4_gender_17 - A4.17) Sex of hh member #17
• a5_ben_relatn_17 - A5.17) Relationship between hh member #17 and respondent
• a6_hh_age_chck_17 - A6.17) Is hh member #17 an adult or infant?
• a6_hh_membr_age_adl_17 - A6.1.17) Age of hh member #17 in years (if adult)
• a7_4_mcp_yn_17 - A7.17) Can you show me hh member #17's MCP card?
• a7_4_1_mcp_count_17 - A7.1.17) Number of immunisations for hh member #17
• a4_gender_18 - A4.18) Sex of hh member #18
• a5_ben_relatn_18 - A5.18) Relationship between hh member #18 and respondent
• a6_hh_age_chck_18 - A6.18) Is hh member #18 an adult or infant?
• a6_hh_membr_age_adl_18 - A6.1.18) Age of hh member #18 in years (if adult)
• a7_4_mcp_yn_18 - A7.18) Can you show me hh member #18's MCP card?
• a4_gender_19 - A4.19) Sex of hh member #19
• a5_ben_relatn_19 - A5.19) Relationship between hh member #19 and respondent
• a6_hh_age_chck_19 - A6.19) Is hh member #19 an adult or infant?
• a6_hh_membr_age_adl_19 - A6.1.19) Age of hh member #19 in years (if adult)
• a6_hh_membr_age_inf_19 - A6.1.19) Age of hh member #19 in months (if infant)
• a7_4_mcp_yn_19 - A7.19) Can you show me hh member #19's MCP card?
• a4_gender_20 - A4.20) Sex of hh member #20
• a5_ben_relatn_20 - A5.20) Relationship between hh member #20 and respondent
• a6_hh_age_chck_20 - A6.20) Is hh member #20 an adult or infant?
• a6_hh_membr_age_adl_20 - A6.1.20) Age of hh member #20 in years (if adult)
• a6_hh_membr_age_inf_20 - A6.1.20) Age of hh member #20 in months (if infant)
• a7_4_mcp_yn_20 - A7.20) Can you show me hh member #20's MCP card?
• a7_4_1_mcp_count_20 - A7.1.20) Number of immunisations for hh member #20
• a4_gender_21 - A4.21) Sex of hh member #21
• a5_ben_relatn_21 - A5.21) Relationship between hh member #21 and respondent
• a6_hh_age_chck_21 - A6.21) Is hh member #21 an adult or infant?
• a6_hh_membr_age_adl_21 - A6.1.21) Age of hh member #21 in years (if adult)
• a7_4_mcp_yn_21 - A7.21) Can you show me hh member #21's MCP card?
• total_calories_pc - Total number of calories consumed per capita in the household
• total_calories_mom - Total number of calories consumed by the respondent
• total_empty_calories_mom - Total number of empty calories consumed by the respondent
• rice_tot_cal_mom - Total number of calories consumed by the respondent from rice
• roti_tot_cal_mom - Total number of calories consumed by the respondent from roti
• dal_tot_cal_mom - Total number of calories consumed by the respondent from dal
• sbz_tot_cal_mom - Total number of calories consumed by the respondent from sabzi
• bhj_tot_cal_mom - Total number of calories consumed by the respondent from bhunjia
• sag_tot_cal_mom - Total number of calories consumed by the respondent from saag
• nv_tot_cal_mom - Total number of calories consumed by the respondent from non-veg
• khr_tot_cal_mom - Total number of calories consumed by the respondent from mithai/ desserts
• kchd_tot_cal_mom - Total number of calories consumed by the respondent from khichdi/ pulao/ fried r
• prot_g_mom - Respondent's protein intake (in grams)
• vfat_g_mom - Respondent's visible fat intake (in g)
• fiber_g_mom - Respondent's fiber intake (in grams)
• carb_g_mom - Respondent's carbohyderate intake (in grams)
• thia_mg_mom - Respondent's thiamin intake (in milligrams)
• ribo_mg_mom - Respondent's riboflavin intake (in milligrams)
• nia_mg_mom - Respondent's niacin intake (in milligrams)
• pyri_mg_mom - Respondent's pyridoxin intake (in milligrams)
• fol_ug_mom - Respondent's dietary folate intake (in micrograms)
• aacid_mg_mom - Respondent's ascorbic acid intake (in milligrams)
• ret_ug_mom - Respondent's retinol intake (in micrograms)
• carot_ug_mom - Respondent's beta carotene intake (in micrograms)
• calc_mg_mom - Respondent's calcium intake (in milligrams)
• iron_mg_mom - Respondent's iron intake (in milligrams)
• mag_mg_mom - Respondent's magnesium intake (in milligrams)
• zinc_mg_mom - Respondent's zinc intake (in milligrams)
• chol_mg_mom - Respondent's cholesterol intake (in milligrams)
• sodi_mg_mom - Respondent's sodium intake (in milligrams)
• satfat_mg_mom - Respondent's saturated fat intake (in milligrams)
• pct_calories_from_protein_mom - Percent of respondent's total calories from protein
• nutrient_index - Respondent's nutrient index
• prot_perc_mom_zscore - Z-score of respondent's recommended protein intake
• vfat_perc_mom_zscore - Z-score of respondent's recommended visible fat intake
• fiber_perc_mom_zscore - Z-score of respondent's recommended fiber intake
• thia_perc_mom_zscore - Z-score of respondent's recommended thiamin intake
• ribo_perc_mom_zscore - Z-score of respondent's recommended riboflavin intake
• nia_perc_mom_zscore - Z-score of respondent's recommended niacin intake
• pyri_perc_mom_zscore - Z-score of respondent's recommended pyridoxin intake
• fol_perc_mom_zscore - Z-score of respondent's recommended folate intake
• aacid_perc_mom_zscore - Z-score of respondent's recommended ascorbic acid intake
• ret_perc_mom_zscore - Z-score of respondent's recommended retinol intake
• carot_perc_mom_zscore - Z-score of respondent's recommended beta carotene intake
• calc_perc_mom_zscore - Z-score of respondent's recommended calcium intake
• iron_perc_mom_zscore - Z-score of respondent's recommended iron intake
• mag_perc_mom_zscore - Z-score of respondent's recommended magnesium intake
• zinc_perc_mom_zscore - Z-score of respondent's recommended zinc intake
• chol_perc_mom_zscore - Z-score of respondent's recommended cholesterol intake
• sodi_perc_mom_zscore - Z-score of respondent's recommended sodium intake
• calories_perc_mom_zscore - Z-score of respondent's recommended calorie intake
• mddm - Did the respondent meet the minimum dietary diversity?
• mddmgrains - Minimum dietary diversity: Did the respondent consume grains yesterday?
• mddmlegumesnuts - Minimum dietary diversity: Did the respondent consume legumes or nuts yesterday?
• mddmdairy - Minimum dietary diversity: Did the respondent consume dairy yesterday?
• mddmfleshfood - Minimum dietary diversity: Did the respondent consume flesh foods yesterday?
• mddmeggs - Minimum dietary diversity: Did the respondent consume eggs yesterday?
• mddmvitamina - Minimum dietary diversity: Did the respondent consume fruits or veg rich in vita
• mddmotherfruitveg - Minimum dietary diversity: Did the respondent consume other fruits or veg yester
• tea_cd_yesno - Did the respondent consume tea yesterday?
• dqii_score_mom - Respondent's DQI-I score
• variety_score_mom - Respondent's variety score
• var_prot_score_mom - Variety score: Respondent's protein score
• var_dairybeans_mom - Variety score: Did the respondent consume dairy or beans in the last 24 hours?
• var_nonveg_mom - Variety score: Did the respondent consume non-veg in the last 24 hours?
• var_fruits_mom - Variety score: Did the respondent consume fruit in the last 24 hours?
• var_vegetables_mom - Variety score: Did the respondent consume vegetables in the last 24 hours?
• var_grains_mom - Variety score: Did the respondent consume grains in the last 24 hours?
• var_prot_meat_mom - Variety score: Did the respondent consume protein from meat in the last 24 hours
• var_prot_poultry_mom - Variety score: Did the respondent consume protein from poultry in the last 24 ho
• var_prot_fish_mom - Variety score: Did the respondent consume protein from fish in the last 24 hours
• var_prot_dairy_mom - Variety score: Did the respondent consume protein from dairy in the last 24 hour
• var_prot_beans_mom - Variety score: Did the respondent consume protein from beans in the last 24 hour
• var_prot_eggs_mom - Variety score: Did the respondent consume protein from eggs in the last 24 hours
• var_prot_types_mom - Number of different protein types consumed by the mother
• adequacy_score_mom - Respondent's adequacy score
• fruits_adeq_mom - Adequacy score: Respondent consumed fruits (based on % RDA met)
• veg_adeq_mom - Adequacy score: Respondent consumed vegetables (based on % RDA met)
• grains_adeq_mom - Adequacy score: Respondent consumed grains (based on % RDA met)
• fiber_adeq_mom - Adequacy score: Respondent consumed fiber (based on % RDA met)
• prot_adeq_mom - Adequacy score: Respondent consumed protein (based on % RDA met)
• iron_adeq_mom - Adequacy score: Respondent consumed iron (based on % RDA met)
• calc_adeq_mom - Adequacy score: Respondent consumed calcium (based on % RDA met)
• aacid_adeq_mom - Adequacy score: Respondent consumed vitamin C (based on % RDA met)
• moderation_score_mom - Respondent moderation score
• moderation_vfat - Moderation score: Respondent consumed fat (based on % RDA met)
• moderation_satfat - Moderation score: Respondent consumed saturated fats (based on % RDA met)
• moderation_chol - Moderation score: Respondent consumed cholesterol (based on % RDA met)
• moderation_sodi - Moderation score: Respondent consumed sodium (based on % RDA met)
• moderation_empty_cal - Moderation score: Respondent consumed empty calories (based on % RDA met)
• balance_score_mom - Respondent's balance score
• balance_macronut_ratio - Balance score: Respondent macronutrient ratio
• balance_ratio_pufa_sfa - Balance score: ratio of polyunsaturated fats to saturated fats
• balance_ratio_mufa_sfa - Balance score: ratio of monounsaturated fats to saturated fats
• balance_fatty_acid_ratio - Balance score fatty acid ratio
• total_calories_c - Total number of calories consumed by the child
• rice_tot_cal_c - Total number of calories consumed by the child from rice
• roti_tot_cal_c - Total number of calories consumed by the child from roti
• dal_tot_cal_c - Total number of calories consumed by the child from dal
• sbz_tot_cal_c - Total number of calories consumed by the child from sabzi
• bhj_tot_cal_c - Total number of calories consumed by the child from bhunjia
• sag_tot_cal_c - Total number of calories consumed by the child from saag
• nv_tot_cal_c - Total number of calories consumed by the child from non-veg
• khr_tot_cal_c - Total number of calories consumed by the child from mithai/ desserts
• kchd_tot_cal_c - Total number of calories consumed by the child from khichdi/ pulao/ fried rice/
• breastfed - Number of times child was breastfed during the day
• mmf - Did the child meet the minimum meal frequency?
• mddc - Did the child meet the minimum dietary diversity?
• mddcgrains - Minimum dietary diversity: Did the child consume grains yesterday?
• mddclegumesnuts - Minimum dietary diversity: Did the child consume legumes or nuts yesterday?
• mddcdairy - Minimum dietary diversity: Did the child consume dairy yesterday?
• mddcfleshfood - Minimum dietary diversity: Did the child consume flesh foods yesterday?
• mddceggs - Minimum dietary diversity: Did the child consume eggs yesterday?
• mddcvitamina - Minimum dietary diversity: Did the child consume fruits or veg rich in vitamin A
• mddcotherfruitveg - Minimum dietary diversity: Did the child consume other fruits or veg yesterday?
• iron_yn - Did the respondent consume iron tablets yesterday?
• calc_yn - Did the respondent consume calcium tablets yesterday?
• depress_index - Depression score out of 5
• e4_1_1 - E4.1) In the last 2 weeks, how often have you felt nervous or stressed
• e4_1_2 - E4.2) In the last two weeks did you feel that you couldn't manage all tasks?
• e4_1_3 - E4.3) In the last 2 weeks, how often did you have trouble falling or staying asl
• e4_1_4 - E4.4) In the last 2 weeks, how often were you feeling tired or having little ene
• e4_1_5 - E4.5) In the last 2 weeks, how often were you having trouble concentrating on th
• e_5_stress - E5) Taking all things together, how happy would you say you are?
• e_6_1_stress_oth_yn - E6) Were there other people present during this section on stress?
• e_6_1_stress_oth_1 - E6.1) Respondent's husband was present during this section
• e_6_1_stress_oth_2 - E6.2) Respondent's mother-in-law was present during this section
• e_6_1_stress_oth_3 - E6.3) Respondent's father-in-law was present during this section
• e_6_1_stress_oth_4 - E6.4) Respondent's other hh members were present during this section
• e_6_1_stress_oth_5 - E6.5) Other village residents were present during this section
• empower_index - Empowerment score out of 5
• emp_visit_permission - F1) The last time you went to a relative or acquaintence's house inside the vill
• emp_mkt_permission - F2) The last time you went to the market within your village, did you have to ta
• emp_financially_dep - F3) Do you have to ask someone for money if you want to purchase items from the
• emp_meds_decision - F4) Imagine that you were home alone, without your spouse or guardian and one of
• emp_fin_decision - F5) Suppose you earned Rs 300 as part of a government programme. Who would decid
• emp_others_yn - F6) Were there other people present during this section?
• emp_others_1 - F6.1) Respondent's husband was present during this section
• emp_others_2 - F6.2) Respondent's mother-in-law was present during this section
• emp_others_3 - F6.3) Respondent's father-in-law was present during this section
• emp_others_4 - F6.4) Respondent's other hh members were present during this section
• emp_others_5 - F6.5) Other village residents were present during this section
• beliefs_score - Number of questions answered correctly on nutritional beliefs (out of 6)
• j1_pregeat - J1) During pregnancy, how much do you think a woman should eat - less than norma
• j2_lacteat - J2) While breastfeeding, how much do you think a woman should eat - less than no
• j3_pregint - J3) During pregnancy, if a woman eats more than normal, do you think it has any
• j4_pregheight - J4) During pregnancy, if a woman eats more than normal, do you think it has any
• j5_childint - J5) If a child eats a nutritious diet, do you think it has any effect on the chi
• j6_childheight - J6) If a child eats a nutritious diet, do you think it has any effect on the chi
• bel_preg_eat - Score: J1
• bel_lact_eat - Score: J2
• bel_preg_eat_affect - Score: J3
• bel_preg_eat_height - Score: J4
• bel_child_affect - Score: J5
• bel_child_height - Score: J6
• g1_sev_yn - Surveyor to fill: Is the Respondent the sevika herself?
• g1_awc_visit - G1) In the past one month, how many times did you visit the anganwadi centre in
• g2_nutri_info - G2) How many times did the sevika speak to you about: Food and nutrition
• g_3_1_preschl - G3.1) Do you use this service at your AWC: Preschool
• g_3_2_hot_ckd_meal - G3.2) Do you use this service at your AWC: Hot cooked meals
• g_3_3_dewrm - G3.3) Do you use this service at your AWC: Deworming for children
• g_3_4_grwth_msure - G3.4) Do you use this service at your AWC: Height and weight measurement for chi
• g_3_5_nutrtn_info - G3.5) Do you use this service at your AWC: Information related to food and nutri
• g_3_6_irn_calc - G3.6) Do you use this service at your AWC: Iron/ Calcium tablets during pregnanc
• g_3_7_vacntn - G3.7) Do you use this service at your AWC: Vaccination shots for pregnant women
• g_3_8_thr - G3.8) Do you use this service at your AWC: Distribution of THR
• g_3_9_govt_schm - G3.9) Do you use this service at your AWC: Registration for government schemes
• g_3_10_med - G3.10) Do you use this service at your AWC: Medicines
• g_3_11_oth - G3.11) Do you use this service at your AWC: Other
• g4_sev_visit - G4) Has the sevika visited your home in the last month?
• g5_hcm - G5) Over the last month, have hot cooked meals been regularly available at your
• g6_thr - G6) Over the last month, did you receive four or more packets of THR?
• h6_bank_acc_yesno - H6) Do you have a bank account?
• h6_aadhaar - H6.1) Is your account seeded with Aadhaar?
• h6_passbook - H6.2) Do you have a passbook?
• h6_1_withdrawl_src - H6.1) Where do you usually withdraw money from the bank?
• h6_bank_dist - H6.2) How far is the branch from where you usually withdraw money (in km)?
• h7_bank_transport - H7) What is the most frequent mode of transport to go to the nearest bank branch
• h8_1_bank_travel_time - H8.1) How much time does it take to go to this bank branch/ATM? (in mins, one wa
• h8_2_bank_wait_time - H8.1) How much time do you have to wait for transport? (in mins, one way)
• bank_travel_time_tot - Total time taken to make a round trip to the bank
• h9_bank_cost - H9) How much does it cost to take a round trip to this bank branch/ATM? (Rs)
• h10_wth_last - H10) When was the last time you tried to withdraw money from your account?
• h11_wth_purp_1 - H11.1) Did you withdraw money for daily household expenditure?
• h11_wth_purp_2 - H11.2) Did you withdraw money for monthly expenses (fees/ rent/ bills)?
• h11_wth_purp_3 - H11.3) Did you withdraw money for farm related expenses?
• h11_wth_purp_4 - H11.4) Did you withdraw money for medical expenses?
• h11_wth_purp_5 - H11.5) Did you withdraw money for a wedding expenses?
• h11_wth_purp_6 - H11.6) Did you withdraw money for a festival?
• h11_wth_purp_7 - H11.7) Did you withdraw money for renovations or house repairs?
• h11_wth_purp_8 - H11.8) Did you withdraw money for clothes?
• h11_wth_purp_9 - H11.9) Did you withdraw money for paying off a loan?
• h11_wth_purp_10 - H11.10) Did you withdraw money for funeral related expenses?
• h11_wth_purp_11 - H11.11) Did you withdraw money for a trip?
• h11_wth_purp_12 - H11.12) Did you withdraw money for buying/ repairing assets?
• h11_wth_purp_0 - H11.0) Did you withdraw money for an unspecified purpose (not spent yet)?
• h12_wth_prob_1 - H12.1) Did you face this problem: Not enough cash at the bank
• h12_wth_prob_2 - H12.2) Did you face this problem: Link failure/ Technical problem
• h12_wth_prob_3 - H12.3) Did you face this problem: Account frozen or closed
• h12_wth_prob_4 - H12.4) Did you face this problem: Officials were rude
• h12_wth_prob_5 - H12.5) Did you face this problem: Bank was crowded
• h12_wth_prob_6 - H12.6) Did you face this problem: Bank was closed
• h12_wth_prob_7 - H12.7) Did you face this problem: Other
• h_1_mrkt_visit_who - H1) Who goes to the market to purchase food?
• h_1_1_who_resp - Surveyor to answer: H1.1) Was this module answered by the member who goes to the
• h2_market_dist - H2) How far is the market from where you usually buy vegetables and groceries? (
• h3_market_transport - H3) What is the frequent mode of transport to go to the market?
• h4_time_to_market - H4) How long does it take to go to this market? (in minutes)
• h4_wait_min - H4) How much time do you have to wait for transport (in mins, one way)?
• h5_market_cost - H5) How much does it cost to go to this market? (Rs)
• i1_market_freq - I1) In the last week, how many times did you buy food items from the market?
• i1_1_market - I1.0) How much was spent on food items in total in the last week?
• i1_1_market_1 - I1.1) How much was spent on food items on this trip to the market?
• i1_1_market_2 - I1.2) How much was spent on food items on this trip to the market?
• i1_1_market_3 - I1.3) How much was spent on food items on this trip to the market?
• i1_1_market_4 - I1.4) How much was spent on food items on this trip to the market?
• i1_1_market_5 - I1.5) How much was spent on food items on this trip to the market?
• i1_1_market_6 - I1.6) How much was spent on food items on this trip to the market?
• i1_1_market_7 - I1.7) How much was spent on food items on this trip to the market?
• i1_1_market_8 - I1.8) How much was spent on food items on this trip to the market?
• i1_1_market_9 - I1.9) How much was spent on food items on this trip to the market?
• i1_1_market_10 - I1.10) How much was spent on food items on this trip to the market?
• i1_1_market_11 - I1.11) How much was spent on food items on this trip to the market?
• i3_fps_freq - I3) In the last month, how many times did you buy food from the FPS?
• i3_1_fps - I3) How much was spent on food items in total at the FPS in the last month?
• i3_1_fps_1 - I3.1) How much was spent on food items on this trip to the FPS?
• i3_1_fps_2 - I3.2) How much was spent on food items on this trip to the FPS?
• i3_1_fps_3 - I3.3) How much was spent on food items on this trip to the FPS?
• i3_1_fps_4 - I3.4) How much was spent on food items on this trip to the FPS?
• i3_1_fps_5 - I3.5) How much was spent on food items on this trip to the FPS?
• i3_1_fps_6 - I3.6) How much was spent on food items on this trip to the FPS?
• i3_1_fps_7 - I3.7) How much was spent on food items on this trip to the FPS?
• i3_1_fps_8 - I3.8) How much was spent on food items on this trip to the FPS?
• i3_1_fps_9 - I3.9) How much was spent on food items on this trip to the FPS?
• i3_1_fps_10 - I3.10) How much was spent on food items on this trip to the FPS?
• i3_1_fps_11 - I3.11) How much was spent on food items on this trip to the FPS?
• i3_1_fps_12 - I3.12) How much was spent on food items on this trip to the FPS?
• i3_1_fps_13 - I3.13) How much was spent on food items on this trip to the FPS?
• i3_1_fps_14 - I3.14) How much was spent on food items on this trip to the FPS?
• i3_1_fps_15 - I3.15) How much was spent on food items on this trip to the FPS?
• i3_1_fps_16 - I3.16) How much was spent on food items on this trip to the FPS?
• i3_1_fps_17 - I3.17) How much was spent on food items on this trip to the FPS?
• i3_1_fps_18 - I3.18) How much was spent on food items on this trip to the FPS?
• i3_1_fps_19 - I3.19) How much was spent on food items on this trip to the FPS?
• i3_1_fps_20 - I3.20) How much was spent on food items on this trip to the FPS?
• i3_1_fps_21 - I3.21) How much was spent on food items on this trip to the FPS?
• i3_1_fps_22 - I3.22) How much was spent on food items on this trip to the FPS?
• i3_1_fps_23 - I3.23) How much was spent on food items on this trip to the FPS?
• i3_1_fps_24 - I3.24) How much was spent on food items on this trip to the FPS?
• i3_1_fps_25 - I3.25) How much was spent on food items on this trip to the FPS?
• i3_1_fps_26 - I3.26) How much was spent on food items on this trip to the FPS?
• i3_1_fps_27 - I3.27) How much was spent on food items on this trip to the FPS?
• expend_food - How much has the household spent in the last 30 days on food?
• i3_expend_sin - I3) How much was spent on sin goods in the last week (sum of alcohol and tobacco
• i4_alcohol - I4) How much was spent on alcohol in the last one week?
• i5_tobacco - I5) How much was spent on tobacco/ cigarettes/ paan in the last one week?
• rationcard - J1) What colour is your ration card? Note to surveyor: Please verify the ration
• dwelling - J2) The house where you permanently reside, does your family own it or rent it?
• scst - J3) Are you from a scheduled caste or scheduled tribe?
• religion - J4) Religion of Household
• itms_hh_bed - J5.1) How many do you own of: Beds/cots
• itms_hh_tv - J5.2) How many do you own of: Color TVs
• itms_hh_vehicle2 - J5.3) How many do you own of: 2 wheeler vehicles
• itms_hh_vehicle4 - J5.4) How many do you own of: 4 wheeler vehicles
• itms_hh_chair - J5.5) How many do you own of: Chairs
• itms_hh_bicycle - J5.6) How many do you own of: Bicycles
• itms_hh_mobile - J5.7) How many do you own of: Mobile phones
• itms_hh_cooker - J5.8) How many do you own of: Pressure cookers
• surveyor_location - J6) What type of location would you describe this as?
• house_type - J7) What type of dwelling does this household occupy?
• roof_material_1 - J8.1) Is the roof of this house made of: Concrete
• roof_material_2 - J8.2) Is the roof of this house made of: Metal/ tin
• roof_material_3 - J8.3) Is the roof of this house made of: Straw/ thatch/ sod
• roof_material_4 - J8.4) Is the roof of this house made of: Tile
• roof_material_5 - J8.5) Is the roof of this house made of: Pattiyan
• roof_material_6 - J8.6) Is the roof of this house made of: Cloth
• roof_material_7 - J8.7) Is the roof of this house made of: Mud/ khapda
• uid - Unique ID
• awc_code - Anganwadi code
• a0_twin - Does this child have a twin?
• a2_infant_sex - A2) Child gender
• a2_infant_sex_oth - A2) Gender: other please specify
• a7_2_infant_mob - A7.2) Month in which the child was born
• a7_3_infant_yob - A7.3) Year in which the child was born
• child_age_mnth - Age of child in months (rounded)
• b1_1_mothr_wgt_t1 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• b1_2_mthr_chld_wgt_t1 - B1.2) Respondent and Child together (in kilos, trial 1)
• b1_3_child_wgt_t1 - B1.2) Child's weight (in kilos, trial 1)
• b2_1_mothr_wgt_t2 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• b2_2_mthr_chld_wgt_t2 - B2.2) Respondent and Child together (in kilos, trial 2)
• b2_3_child_wgt_t2 - B1.2) Child's weight (in kilos, trial 2)
• b3_1_mothr_wgt_t3 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 3)
• b3_2_mthr_chld_wgt_t3 - B3.2) Respondent and Child together (in kilos, trial 3)
• b3_3_child_wgt_t3 - B1.2) Child's weight (in kilos, trial 3)
• mothr_wgt - Mother's weight, in kilos
• child_wgt - Child's weight, in kilos
• waz - Child's weight-for-age z-score
• moth_wgt_discrp - Measurement discrepency of mother's weight, in kilos
• child_wgt_discrp - Measurement discrepency of child's weight, in kilos
• b4_preg_yesno - Are you currently pregnant?
• b4_1_preg_age - Which trimester are you currently in?
• b5_heavy_drss_yesno - Did the respondent wear heavy materials (jacket, bracelets etc.) during the meas
• b5_1_heavy_drss_1 - Was the respondent wearing a jacket while being measured?
• b5_1_heavy_drss_2 - Was the respondent wearing a sweater while being measured?
• b5_1_heavy_drss_3 - Was the respondent wearing a heavy Sari while being measured?
• b5_1_heavy_drss_4 - Was the respondent wearing heavy jewelry while being measured?
• b5_1_heavy_drss__87 - Was the respondent wearing other heavy clothing item(s)
• b5_1_heavy_drss_oth - Was the respondent wearing other heavy clothing item(s), please specify
• b6_flat_srfc - Was a flat surface available in the household to keep the weighing scale for mea
• b6_1_fasting - Are you on a fast?
• d_1_chld_unwl_yesno - D1) Was your child unwell in the last 3 months?
• child_unwell_freq_tot - Number of days child was unwell in the last 90 days
• d2_1_chld_unwl_freq_month1 - Number of days the child was sick in the last 30 days
• d2_2_chld_unwl_freq_month2 - Number of days the child was sick in the last 30-60 days
• d2_3_chld_unwl_freq_month3 - Number of days the child was sick in the last 60-90 days
• d_3_chld_disease_1 - Child illnesses in the past three months: cold/cough/fever
• d_3_chld_disease_2 - Child illnesses in the past three months: diarrhea/vomiting/stomach infections
• d_3_chld_disease_3 - Child illnesses in the past three months: malaria/jaundice/dengue/other vector b
• d_3_chld_disease_4 - Child illnesses in the past three months: measles/chickenpox
• d_3_chld_disease_5 - Child illnesses in the past three months: pneumonia
• d_3_chld_disease_6 - Child illnesses in the past three months: physical injuries/fractures
• d_3_chld_disease_7 - Child illnesses in the past three months: skin and other infections
• d_3_chld_disease__87 - Child illnesses in the past three months: other
• d_3_chld_disease__88 - Child illnesses in the past three months: did not know
• d_3_chld_disease__89 - Child illnesses in the past three months: did not answer
• d_3_chld_disease_oth - Child illnesses in the past three months: other, please specify
• d_4_1_child_doc_gov - D4.1) How many times did you show your sick child to: Government Doctor/ Hospita
• d_4_2_child_doc_pvt - D4.2) How many times did you show your sick child to: Private Doctor/ Hospital/
• d_4_3_child_anm - D4.3) How many times did you show your sick child to: ANM/ Sub-centre
• d_4_4_child_quac - D4.4) How many times did you show your sick child to: Jholawala/ Bengali Doctor/
• d_4_5_child_healr - D4.5) How many times did you show your sick child to: Village healer/ Witch-doct
• d_4_7_child_self_med - D4.7) How many times did you show your sick child to: Self medication
• d_4_8_home_rem - D4.8) How many times did you show your sick child to: Home remedy
• d_4_6_child_oth_med - D4.6) How many times did you show your sick child to: Other
• d_4_7_child_oth_med_spcfy - D4.7) How many times did you show your sick child to: Please specify other
• uid - UID
• awc_code - Anganwadi code
• a0_twin - Does this child have a twin?
• b1_1_mothr_wgt_t1 - B1.1) Respondent Weight only (without child respondent) (in kilos, trail 1)
• b2_1_mothr_wgt_t2 - B1.2) Respondent Weight only (without child respondent) (in kilos, trial 2)
• b3_1_mothr_wgt_t3 - B1.3) Respondent Weight only (without child respondent) (in kilos, trial 3)
• mothr_wgt - Mother's weight (in kilos)
• b4_preg_yesno - Are you currently pregnant?
• b4_1_preg_age - Which trimester are you currently in?
• b5_heavy_drss_yesno - Did the respondent wear heavy materials during the measurement?
• b5_1_heavy_drss_1 - Was the respondent wearing a jacket while being measured?
• b5_1_heavy_drss_2 - Was the respondent wearing a sweater while being measured?
• b5_1_heavy_drss_3 - Was the respondent wearing a heavy shawl while being measured?
• b5_1_heavy_drss_4 - Was the respondent wearing a heavy blanket or quilt while being measured?
• b5_1_heavy_drss_5 - Was the respondent wearing a heavy sari while being measured?
• b5_1_heavy_drss_6 - Was the respondent wearing heavy jewellry while being measured?
• b6_flat_srfc - Was a flat surface available in the household to keep the weighing scale for mea
• b12_older_siblings - B12) How many older siblings does the child have?
• b13_younger_siblings - B13) How many younger siblings does the child have?
• d1_first_born - D1) Is this your first child?
• d2_pmmvy_register - D2) Did the sevika register you for the PMMVY scheme - through which you get Rs.
• d3_rec_pmmvy_transfer - D3) Have you received any transfers through this scheme?
• d4_pmmvy_transfer_amt - D4) How much money have your received?
• d5_withdraw_pmmvy_transfer - D5) Did you withdraw this money?
• e1_drinking_water_source - E1) What is the main source of drinking water for this household?
• e2_1_toilet_yn - E2) Does your houeshold have a toilet?
• e2_toilet - E2) Does your household use a toilet?
• e3_toilet_location - E3) Where is the nearest toilet located?
• e4_handwash - E4) Does your household have a handwashing station?
• a2_infant_sex - A2) Child gender
• a7_2_infant_mob - A7.2) Month in wich the child was born
• a7_3_infant_yob - A7.3) Year in which the child was born
• child_age_mnth - Age of child in months (rounded)
• b1_2_mthr_chld_wgt_t1 - B1.2) Respondent and Child together (in kilos, trial 1)
• b1_3_child_wgt_t1 - B1.2) Child's weight (in kilos, trial 1)
• b2_2_mthr_chld_wgt_t2 - B2.2) Respondent and Child together (in kilos, trial 2)
• b2_3_child_wgt_t2 - B2.2) Child's weight (in kilos, trial 2)
• b3_2_mthr_chld_wgt_t3 - B3.2) Respondent and Child together (in kilos, trial 3)
• b3_3_child_wgt_t3 - B3.2) Child's weight (in kilos, trial 3)
• child_wgt - Child's weight, in kilos
• child_hgt - Child's height, in cms
• haz - Child's height-for-age z-score
• waz - Child's weight-for-age z-score
• whz - Child's weight-for-height-for-age z-score
• bmiz - Child's BMI z-score
• b7_height_t1 - B7.1) Child's height (in cms, trial 1)
• b7_height_t2 - B7.2) Child's height (in cms, trial 2)
• b7_height_t3 - B7.3) Child's height (in cms, trial 3)
• b9_knees_pressed - B9) Were the child's knees pressed to the mat?
• b10_child_unwell_today - B10) Is the chld unwell today?
• b11_disease_today_child_1 - Was the child unwell today with: Cold/Cough/Fever
• b11_disease_today_child_2 - Was the child unwell today with: Diarrhea/Vomiting/Stomach Infections
• b11_disease_today_child_3 - Was the child unwell today with: Malaria/Jaundice/Dengue/Other Vector-Borne Dise
• b11_disease_today_child_4 - Was the child unwell today with: Measles/Chickenpox
• b11_disease_today_child_5 - Was the child unwell today with: Pneumonia
• b11_disease_today_child_6 - Was the child unwell today with: Physical Injuries/Fracture
• b11_disease_today_child__87 - Was the child unwell today with: Other
• b11_disease_today_child__88 - Was the child unwell today with: Did not know
• b11_disease_today_child__89 - Was the child unwell today with: Did not answer
• c1_child_unwelll - C1) Was the child unwell in the last 3 months?
• c2_chld_disease_child_1 - In the last 3 months, did your child have: Cold/Cough/Fever
• c2_chld_disease_child_2 - In the last 3 months, did your child have: Diarrhea/Vomiting/Stomach Infections
• c2_chld_disease_child_3 - In the last 3 months, did your child have: Malaria/Jaundice/Dengue/Other Vector-
• c2_chld_disease_child_4 - In the last 3 months, did your child have: Measles/Chickenpox
• c2_chld_disease_child_5 - In the last 3 months, did your child have: Pneumonia
• c2_chld_disease_child_6 - In the last 3 months, did your child have: Physical Injuries/Fracture
• c2_chld_disease_child__87 - In the last 3 months, did your child have: Other
• c2_chld_disease_child__88 - In the last 3 months, did your child have: Did not know
• c2_chld_disease_child__89 - In the last 3 months, did your child have: Did not answer
• c2_chld_disease_oth - In the last 3 months, did your child have: Other (specify)
• c3_1_child_doc_gov - C3.1) How many times did you show your child when he/she was unwell to each of t
• c3_2_child_doc_pvt - C3.2) How many times did you show your child when he/she was unwell to each of t
• c3_3_child_anm - C3.3) How many times did you show your child when he/she was unwell to each of t
• c3_4_child_quac - C3.4) How many times did you show your child when he/she was unwell to each of t
• c3_5_child_healr - C3.5) How many times did you show your child when he/she was unwell to each of t
• c3_6_child_self_med - C3.6) How many times did you show your child when he/she was unwell to each of t
• c3_7_home_rem - C3.7) How many times did you show your child when he/she was unwell to each of t
• childid - child ID
• uid - Unique ID
• a1_hh_size - How many members does this household have?
• a4_gender_1 - Gender of hh member #1
• a5_ben_relatn_1 - How is hh member #1 related to the respondent?
• a6_hh_age_chck_1 - Is hh member #1 older than 2 years of age?
• a6_hh_membr_age_adl_1 - Age of hh member #1 (years completed)
• a4_gender_2 - Gender of hh member #2
• a5_ben_relatn_2 - How is hh member #2 related to the respondent?
• a6_hh_age_chck_2 - Is hh member #2 older than 2 years of age?
• a6_hh_membr_age_adl_2 - Age of hh member #2 (years completed)
• a6_hh_membr_age_inf_2 - Age of hh member #2 (months completed)
• a7_4_mcp_yn_2 - Can you please show me child #2's MCP card?
• a7_4_1_mcp_count_2 - Number of immunisations for child #2
• a4_gender_3 - Gender of hh member #3
• a5_ben_relatn_3 - How is hh member #3 related to the respondent?
• a6_hh_age_chck_3 - Is hh member #3 older than 2 years of age?
• a6_hh_membr_age_adl_3 - Age of hh member #3 (years completed)
• a6_hh_membr_age_inf_3 - Age of hh member #3 (months completed)
• a7_4_mcp_yn_3 - Can you please show me child #3's MCP card?
• a7_4_1_mcp_count_3 - Number of immunisations for child #3
• a4_gender_4 - Gender of hh member #4
• a5_ben_relatn_4 - How is hh member #4 related to the respondent?
• a6_hh_age_chck_4 - Is hh member #4 older than 2 years of age?
• a6_hh_membr_age_adl_4 - Age of hh member #4 (years completed)
• a6_hh_membr_age_inf_4 - Age of hh member #4 (months completed)
• a7_4_mcp_yn_4 - Can you please show me child #4's MCP card?
• a7_4_1_mcp_count_4 - Number of immunisations for child #4
• a4_gender_5 - Gender of hh member #5
• a5_ben_relatn_5 - How is hh member #5 related to the respondent?
• a6_hh_age_chck_5 - Is hh member #5 older than 2 years of age?
• a6_hh_membr_age_adl_5 - Age of hh member #5 (years completed)
• a6_hh_membr_age_inf_5 - Age of hh member #5 (months completed)
• a7_4_mcp_yn_5 - Can you please show me child #5's MCP card?
• a7_4_1_mcp_count_5 - Number of immunisations for child #5
• a4_gender_6 - Gender of hh member #6
• a5_ben_relatn_6 - How is hh member #6 related to the respondent?
• a6_hh_age_chck_6 - Is hh member #6 older than 2 years of age?
• a6_hh_membr_age_adl_6 - Age of hh member #6 (years completed)
• a6_hh_membr_age_inf_6 - Age of hh member #6 (months completed)
• a7_4_mcp_yn_6 - Can you please show me child #6's MCP card?
• a7_4_1_mcp_count_6 - Number of immunisations for child #6
• a4_gender_7 - Gender of hh member #7
• a5_ben_relatn_7 - How is hh member #7 related to the respondent?
• a6_hh_age_chck_7 - Is hh member #7 older than 2 years of age?
• a6_hh_membr_age_adl_7 - Age of hh member #7 (years completed)
• a6_hh_membr_age_inf_7 - Age of hh member #7 (months completed)
• a7_4_mcp_yn_7 - Can you please show me child #7's MCP card?
• a7_4_1_mcp_count_7 - Number of immunisations for child #7
• a4_gender_8 - Gender of hh member #8
• a5_ben_relatn_8 - How is hh member #8 related to the respondent?
• a6_hh_age_chck_8 - Is hh member #8 older than 2 years of age?
• a6_hh_membr_age_adl_8 - Age of hh member #8 (years completed)
• a6_hh_membr_age_inf_8 - Age of hh member #8 (months completed)
• a7_4_mcp_yn_8 - Can you please show me child #8's MCP card?
• a7_4_1_mcp_count_8 - Number of immunisations for child #8
• a4_gender_9 - Gender of hh member #9
• a5_ben_relatn_9 - How is hh member #9 related to the respondent?
• a6_hh_age_chck_9 - Is hh member #9 older than 2 years of age?
• a6_hh_membr_age_adl_9 - Age of hh member #9 (years completed)
• a6_hh_membr_age_inf_9 - Age of hh member #9 (months completed)
• a7_4_mcp_yn_9 - Can you please show me child #9's MCP card?
• a7_4_1_mcp_count_9 - Number of immunisations for child #9
• a4_gender_10 - Gender of hh member #10
• a5_ben_relatn_10 - How is hh member #10 related to the respondent?
• a6_hh_age_chck_10 - Is hh member #10 older than 2 years of age?
• a6_hh_membr_age_adl_10 - Age of hh member #10 (years completed)
• a6_hh_membr_age_inf_10 - Age of hh member #10 (months completed)
• a7_4_mcp_yn_10 - Can you please show me child #10's MCP card?
• a7_4_1_mcp_count_10 - Number of immunisations for child #10
• a4_gender_11 - Gender of hh member #11
• a5_ben_relatn_11 - How is hh member #11 related to the respondent?
• a6_hh_age_chck_11 - Is hh member #11 older than 2 years of age?
• a6_hh_membr_age_adl_11 - Age of hh member #11 (years completed)
• a6_hh_membr_age_inf_11 - Age of hh member #11 (months completed)
• a7_4_mcp_yn_11 - Can you please show me child #11's MCP card?
• a7_4_1_mcp_count_11 - Number of immunisations for child #11
• a4_gender_12 - Gender of hh member #12
• a5_ben_relatn_12 - How is hh member #12 related to the respondent?
• a6_hh_age_chck_12 - Is hh member #12 older than 2 years of age?
• a6_hh_membr_age_adl_12 - Age of hh member #12 (years completed)
• a6_hh_membr_age_inf_12 - Age of hh member #12 (months completed)
• a7_4_mcp_yn_12 - Can you please show me child #12's MCP card?
• a7_4_1_mcp_count_12 - Number of immunisations for child #12
• a4_gender_13 - Gender of hh member #13
• a5_ben_relatn_13 - How is hh member #13 related to the respondent?
• a6_hh_age_chck_13 - Is hh member #13 older than 2 years of age?
• a6_hh_membr_age_adl_13 - Age of hh member #13 (years completed)
• a6_hh_membr_age_inf_13 - Age of hh member #13 (months completed)
• a7_4_mcp_yn_13 - Can you please show me child #13's MCP card?
• a7_4_1_mcp_count_13 - Number of immunisations for child #13
• a4_gender_14 - Gender of hh member #14
• a5_ben_relatn_14 - How is hh member #14 related to the respondent?
• a6_hh_age_chck_14 - Is hh member #14 older than 2 years of age?
• a6_hh_membr_age_adl_14 - Age of hh member #14 (years completed)
• a6_hh_membr_age_inf_14 - Age of hh member #14 (months completed)
• a7_4_mcp_yn_14 - Can you please show me child #14's MCP card?
• a7_4_1_mcp_count_14 - Number of immunisations for child #14
• a4_gender_15 - Gender of hh member #15
• a5_ben_relatn_15 - How is hh member #15 related to the respondent?
• a6_hh_age_chck_15 - Is hh member #15 older than 2 years of age?
• a6_hh_membr_age_adl_15 - Age of hh member #15 (years completed)
• a6_hh_membr_age_inf_15 - Age of hh member #15 (months completed)
• a7_4_mcp_yn_15 - Can you please show me child #15's MCP card?
• a7_4_1_mcp_count_15 - Number of immunisations for child #15
• a4_gender_16 - Gender of hh member #16
• a5_ben_relatn_16 - How is hh member #16 related to the respondent?
• a6_hh_age_chck_16 - Is hh member #16 older than 2 years of age?
• a6_hh_membr_age_adl_16 - Age of hh member #16 (years completed)
• a6_hh_membr_age_inf_16 - Age of hh member #16 (months completed)
• a7_4_mcp_yn_16 - Can you please show me child #16's MCP card?
• a7_4_1_mcp_count_16 - Number of immunisations for child #16
• a4_gender_17 - Gender of hh member #17
• a5_ben_relatn_17 - How is hh member #17 related to the respondent?
• a6_hh_age_chck_17 - Is hh member #17 older than 2 years of age?
• a6_hh_membr_age_adl_17 - Age of hh member #17 (years completed)
• a7_4_mcp_yn_17 - Can you please show me child #17's MCP card?
• a7_4_1_mcp_count_17 - Number of immunisations for child #17
• a4_gender_18 - Gender of hh member #18
• a5_ben_relatn_18 - How is hh member #18 related to the respondent?
• a6_hh_age_chck_18 - Is hh member #18 older than 2 years of age?
• a6_hh_membr_age_adl_18 - Age of hh member #18 (years completed)
• a7_4_mcp_yn_18 - Can you please show me child #18's MCP card?
• a7_5_oth_child - A7.5) Do you have any other children who do not live in this household? For exam
• a7_6_twin - Does the child mentioned in the tracking have a twin child who is alive?
• a8_1_resp_edu - A8) Respondent's education
• a8_2_hus_edu - A9) Spouse's Education
• iron_yn - Did you consume iron tablets yesterday?
• iron_freq - How many iron tablets did you consume?
• calc_yn - Did you consume calcium tablets yesterday?
• calc_freq - How many calcium tablets did you consume?
• awc_c_cons - Did your child consume any meals at the Anganwadi yesterday?
• baby_food_yn - Did you give any baby food like daliya, cerelac, formula milk to your child yest
• baby_food_itms - What baby food did you give to the child?
• chld_bm_recll_tm1 - Breastfed Child: Morning: 7AM to 1PM
• chld_bm_recll_tm2 - Breastfed Child: Afternoon: 1PM to 6PM
• chld_bm_recll_tm3 - Breastfed Child: Evening: 6PM to 9PM
• chld_bm_recll_tm4 - Breastfed Child: Night: 9PM to 7 AM
• chld2_bm_recll_tm1 - Breastfed Child: Morning: 7AM to 1PM
• chld2_bm_recll_tm2 - Breastfed Child: Afternoon: 1PM to 6PM
• chld2_bm_recll_tm3 - Breastfed Child: Evening: 6PM to 9PM
• chld2_bm_recll_tm4 - Breastfed Child: Night: 9PM to 7AM
• e4_1_2 - C1) In the last 2 weeks, how often have you felt nervous or stressed
• e4_1_4 - C2) Often there are multiple tasks that you have to do in a day like cooking, cl
• e4_1_3 - C3) Sometimes people are unable to get sleep because they are worried about some
• e4_1_5 - C4) In the last 2 weeks, how often were you feeling tired or having little energ
• e4_1_6 - C5) In the last 2 weeks, how often were you having trouble concentrating on thin
• e_5_stress
• e_6_1_stress_oth_yn - C6.1) Were there other people present during this section on stress?
• e_6_2_stress_oth - C6.2) Who was present?
• emp_visit_permission - F1) The last time you went to a relative or acquaintence's house inside the vill
• emp_mkt_permission - F2) The last time you went to the market within your village, did you have to ta
• emp_financially_dep - F3) If you wished to visit the bank for some work, would you be able to go to th
• emp_meds_decision - F4) Imagine that you were home along, without your spouse or guardian and one of
• emp_fin_decision - F5) Suppose you earned Rs 300 as part of a government programme. Who would decid
• f_6_emp_oth_yn - F6) Were there other people present during this section?
• f_6_1_emp_oth - F6) Who was present during this section?
• j1_pregeat - E1) During pregnancy, how much do you think a woman should eat - less than norma
• j2_lacteat - E2) While breastfeeding, how much do you think a woman should eat - less than no
• j3_pregint - E3) If a mother eats more than normal during pregnancy, do you think that her ch
• j4_pregheight - E4) If a mother eats more than normal during pregnancy, do you think that her ch
• j5_childint - E5) If a person eats a healthy diet as a child, do you think that she will be sm
• j6_childheight - E6) If a person eats a healthy diet as a child, do you think that she will be ta
• g1_sev_yn - Is the Respondent the sevika/sahayika herself?
• g1_awc_visit - F1) In the past one month, how many days did you visit the anganwadi centre in y
• g2_nutri_info - F2) In the past one month, how many days did the village sevika speak to you abo
• g_3_1_preschl - F7.1) Now I will read out a list of services, please let me know if you use thes
• g_3_2_hot_ckd_meal - F7.2) Now I will read out a list of services, please let me know if you use thes
• g_3_3_dewrm - F7.3) Now I will read out a list of services, please let me know if you use thes
• g_3_4_grwth_msure - F7.4) Now I will read out a list of services, please let me know if you use thes
• g_3_5_nutrtn_info - F7.5) Now I will read out a list of services, please let me know if you use thes
• g_3_6_irn_calc - F7.6) Now I will read out a list of services, please let me know if you use thes
• g_3_7_vacntn - F7.7) Now I will read out a list of services, please let me know if you use thes
• g_3_8_thr - F7.8) Now I will read out a list of services, please let me know if you use thes
• g_3_9_govt_schm - F7.9) Now I will read out a list of services, please let me know if you use thes
• g_3_11_oth - F7.11) Now I will read out a list of services, please let me know if you use the
• g4_sev_visit - F3) Has the sevika visited your home in the last month?
• g5_hcm - F4) Over the last month, have hot cooked meals been regularly available at your
• g6_thr - F5) Over the last month, how many packets of THR did you receive?
• h6_bank_acc_yesno - G1) Do you have a bank account?
• h6_aadhaar - G1.1) Is your account seeded with Aadhaar?
• h6_passbook - G1.2) Do you have a passbook?
• h6_1_withdrawl_src - G1.3) Where do you usually withdraw money from the bank?
• h6_bank_dist - G2.1) How far is the bank branch/ATM where you could withdraw money from? (km)?
• h7_bank_transport - G3) What is the most frequent mode of transport to go to the nearest bank branch
• h8_1_bank_hr - G3.1) How much time does it take to go to this bank branch/ATM/CSP/Other? (Hour)
• h8_2_bank_min - G3.2) How much time does it take to go to this bank branch/ATM/CSP/Other? (Min)
• h8_3_wait_hr - G3.3) How long do you wait for transport while going and coming? (Hour)
• h8_wait_min - G3.4) How long do you wait for transport while going and coming? (Min)
• h9_bank_cost - G4) How much does it cost to take a round trip to this bank branch/ATM/CSP/Other
• h10_wth_last - G5) When was the last time you tried to withdraw money from your account?
• h12_wth_prob_1 - H12.1) Did you face this problem: Not enough cash at the bank
• h12_wth_prob_2 - H12.2) Did you face this problem: Link failure/Technical problem
• h12_wth_prob_3 - H12.3) Did you face this problem: Account frozen or closed
• h12_wth_prob_4 - H12.4) Did you face this problem: Officials were rude
• h12_wth_prob_5 - H12.5) Did you face this problem: Bank was crowded
• h12_wth_prob_6 - H12.6) Did you face this problem: Bank was closed
• h12_wth_prob_7 - H12.7) Did you face this problem: Other
• h_1_mrkt_visit_who - H1) Who goes to the market to purchase food?
• h_1_1_who_resp - H1.1) Is the respondent the member who goes to the market?
• h2_mkt_distance - H2) How far is the market where you usually buy vegetables and groceries?
• h3_market_transport - H3) What is the frequent mode of transport to go to the market?
• h4_1_market_hr - H4) How long does it take to go to this market? (hrs)
• h4_2_market_min - H4) How long does it take to go to this market? (mins)
• h4_wait_hr - H4) How much time do you have to wait in transport? (hrs)
• h4_wait_min - H4) How much time do you have to wait in transport? (mins)
• h5_market_cost - H5) How much does it cost to do to this market? (Rs)
• i1_market_freq - How many days in the last week did you or someone from your household go to the
• i1_1_market_1 - How much was spent on food items on trip #1 to the market?
• i1_1_market_2 - How much was spent on food items on trip #2 to the market?
• i1_1_market_3 - How much was spent on food items on trip #3 to the market?
• i1_1_market_4 - How much was spent on food items on trip #4 to the market?
• i1_1_market_5 - How much was spent on food items on trip #5 to the market?
• i1_1_market_6 - How much was spent on food items on trip #6 to the market?
• i1_1_market_7 - How much was spent on food items on trip #7 to the market?
• i1_1_market_8 - How much was spent on food items on trip #8 to the market?
• i1_1_market_9 - How much was spent on food items on trip #9 to the market?
• i1_1_market_10 - How much was spent on food items on trip #10 to the market?
• i1_1_market_11 - How much was spent on food items on trip #11 to the market?
• i3_fps_freq - How many times in the last month did you or someone from your household go to th
• i3_1_fps_1 - How much money was spent on food items in visit #1?
• i3_1_fps_2 - How much money was spent on food items in visit #2?
• i4_alcohol - How much was spent on alcohol in the last week?
• i5_tobacco - How much was spent on tobacco/cigarettes/paan in the last week?
• rationcard - What colour is your ration card? Note to surveyor: Please verify the ration.
• dwelling - The house where you permanently reside, does your family own it or rent it?
• scst - Are you from a scheduled caste or scheduled tribe?
• religion - Religion of household
• itms_hh_bed - I5.1) In your household, how many of the following do you have: bed/cot?
• itms_hh_tv - I5.2) In your household, how many of the following do you have: color TV?
• itms_hh_vehicle2 - I5.3) In your household, how many of the following do you have: 2 wheeler vehicl
• itms_hh_vehicle4 - I5.4) In your household, how many of the following do you have: 4 wheeler vehicl
• itms_hh_chair - I5.6) In your household, how many of the following do you have: chair(s)
• itms_hh_bicycle - I5.7) In your household, how many of the following do you have: bicycle
• itms_hh_mobile - I5.8) In your household, how many of the following do you have: mobile
• itms_hh_cooker - I5.9) In your household, how many of the following do you have: pressure cooker
• surveyor_location - What type of location would you describe this as?
• house_type - What type of dwelling does this household occupy?
• roof_material - What type of roofing material does your household have?
• a4_gender_19 - Gender of hh member #19
• a5_ben_relatn_19 - How is hh member #19 related to the respondent?
• a6_hh_age_chck_19 - Is hh member #19 older than 2 years of age?
• a6_hh_membr_age_adl_19 - Age of hh member #19 (years completed)
• a6_hh_membr_age_inf_19 - Age of hh member #19 (months completed)
• a7_4_mcp_yn_19 - Can you please show me child #19's MCP card?
• a4_gender_20 - Gender of hh member #20
• a5_ben_relatn_20 - How is hh member #20 related to the respondent?
• a6_hh_age_chck_20 - Is hh member #20 older than 2 years of age?
• a6_hh_membr_age_adl_20 - Age of hh member #20 (years completed)
• a6_hh_membr_age_inf_20 - Age of hh member #20 (months completed)
• a7_4_mcp_yn_20 - Can you please show me child #20's MCP card?
• a7_4_1_mcp_count_20 - Number of immunisations for child #20
• a4_gender_21 - Gender of hh member #21
• a5_ben_relatn_21 - How is hh member #21 related to the respondent?
• a6_hh_age_chck_21 - Is hh member #21 older than 2 years of age?
• a6_hh_membr_age_adl_21 - Age of hh member #21 (years completed)
• a7_4_mcp_yn_21 - Can you please show me child #21's MCP card?
• i3_1_fps_3 - How much money was spent on food items in visit #3?
• i3_1_fps_4 - How much money was spent on food items in visit #4?
• i3_1_fps_5 - How much money was spent on food items in visit #5?
• i3_1_fps_6 - How much money was spent on food items in visit #6?
• i3_1_fps_7 - How much money was spent on food items in visit #7?
• i3_1_fps_8 - How much money was spent on food items in visit #8?
• i3_1_fps_9 - How much money was spent on food items in visit #9?
• i3_1_fps_10 - How much money was spent on food items in visit #10?
• i3_1_fps_11 - How much money was spent on food items in visit #11?
• i3_1_fps_12 - How much money was spent on food items in visit #12?
• i3_1_fps_13 - How much money was spent on food items in visit #13?
• i3_1_fps_14 - How much money was spent on food items in visit #14?
• i3_1_fps_15 - How much money was spent on food items in visit #15?
• i3_1_fps_16 - How much money was spent on food items in visit #16?
• i3_1_fps_17 - How much money was spent on food items in visit #17?
• i3_1_fps_18 - How much money was spent on food items in visit #18?
• i3_1_fps_19 - How much money was spent on food items in visit #19?
• i3_1_fps_20 - How much money was spent on food items in visit #20?
• i3_1_fps_21 - How much money was spent on food items in visit #21?
• i3_1_fps_22 - How much money was spent on food items in visit #22?
• i3_1_fps_23 - How much money was spent on food items in visit #23?
• i3_1_fps_24 - How much money was spent on food items in visit #24?
• i3_1_fps_25 - How much money was spent on food items in visit #25?
• i3_1_fps_26 - How much money was spent on food items in visit #26?
• i3_1_fps_27 - How much money was spent on food items in visit #27?
• expend_food - How much has the household spent in the last 30 days on food?
• expend_sin - Spending on sin goods (Rs.)
• a0_twin - Does the child mentioned in the tracking have a twin child who is alive?
• num_awc_visits - Number of visits to AWC in last month
• awc_visit_any - Visited AWC in last month (binary)
• g2_nutri_info_binary - Sevika gave household any nutrition info in last month
• resp_is_mother - Respondent is biological mother
• resp_edu - A8) Respondent's education
• mother_edu - Mother's education (years)
• father_edu - A9) Spouse's Education
• empower_index - Empowerment Index
• emp_other_present - Emp: Another person present during module
• happy_likert - E5) Think about all the reasons to be happy or sad in your life. Taking all thes
• depress_index - Depression score out of 5
• bel_preg_eat - Score: J1
• bel_lact_eat - Score: J2
• bel_preg_eat_affect - Score: J3
• bel_preg_eat_height - Score: J4
• bel_child_affect - Score: J5
• bel_child_height - Score: J6
• beliefs_score - Number of questions answered correctled on nutritional beliefs (out of 6)
• expend_sin_noneg - Spending on sin goods (Rs.)
• i1_1_market - I1) In the last week, how many times did you buy food items from the market?
• i3_1_fps - I3) How much was spent on food items in total at the FPS in the last month?
• breastfed - Number of times child was breastfed during the day
• total_calories_pc - Total number of calories consumed per capita in the household
• total_calories_mom - Total number of calories consumed by the respondent
• rice_tot_cal_mom - Total number of calories consumed by the respondent from rice
• roti_tot_cal_mom - Total number of calories consumed by the respondent from roti
• dal_tot_cal_mom - Total number of calories consumed by the respondent from dal
• sbz_tot_cal_mom - Total number of calories consumed by the respondent from sabzi
• bhj_tot_cal_mom - Total number of calories consumed by the respondent from bhunjia
• sag_tot_cal_mom - Total number of calories consumed by the respondent from saag
• nv_tot_cal_mom - Total number of calories consumed by the respondent from non-veg
• khr_tot_cal_mom - Total number of calories consumed by the respondent from mithau/desserts
• kchd_tot_cal_mom - Total number of calories consumed by the respondent from khichdi/pulao/fried ric
• prot_g_mom - Respondent's protein intake (in grams)
• vfat_g_mom - Respondent's visible fat intake (in grams)
• fiber_g_mom - Respondent's fiber intake (in grams)
• carb_g_mom - Respondent's carbohydrate intake (in grams)
• thia_mg_mom - Respondent's thiamin intake (in milligrams)
• ribo_mg_mom - Respondent's riboflavin intake (in milligrams)
• nia_mg_mom - Respondent's niacin intake (in milligrams)
• pyri_mg_mom - Respondent's pyridoxin intake (in milligrams)
• fol_ug_mom - Respondent's dietary folate intake (in micrograms)
• aacid_mg_mom - Respondent's ascorbic acid intake (in milligrams)
• ret_ug_mom - Respondent's retional intake (in milligrams)
• carot_ug_mom - Respondent's beta caroetene intake (in micrograms)
• calc_mg_mom - Respondent's calcium intake (in milligrams)
• iron_mg_mom - Respondent's iron intake (in milligrams)
• mag_mg_mom - Respondent's magnesium intake (in milligrams)
• zinc_mg_mom - Respondent's zinc intake (in milligrams)
• chol_mg_mom - Respondent's cholesterol intake (in milligrams)
• sodi_mg_mom - Respondent's sodium intake (in milligrams)
• satfat_mg_mom - Respondent's saturated fat intake (in milligrams)
• munsatfat_mg_mom - Respondent's monounsaturated fat intake (in milligrams)
• punsatfat_mg_mom - Respondent's polyunsaturated fat intake (in milligrams)
• total_calories_c - Total number of calories consumed by the child
• rice_tot_cal_c - Total number of calories consumed by the child from rice
• roti_tot_cal_c - Total number of calories consumed by the child from roti
• dal_tot_cal_c - Total number of calories consumed by the child from dal
• sbz_tot_cal_c - Total number of calories consumed by the child from sabzi
• bhj_tot_cal_c - Total number of calories consumed by the child from bhunjia
• sag_tot_cal_c - Total number of calories consumed by the child from saag
• nv_tot_cal_c - Total number of calories consumed by the child from non-veg
• khr_tot_cal_c - Total number of calories consumed by the child from mithai/desserts
• kchd_tot_cal_c - Total number of calories consumed by the child from khichdi/pulao/fried rice/
• prot_g_c - Child's protein intake (in grams)
• vfat_g_c - Child's visible fat intake (in grams)
• fiber_g_c - Child's fiber intake (in grams)
• carb_g_c - Child's carbohydrate intake (in grams)
• thia_mg_c - Child's thiamin intake (in milligrams)
• ribo_mg_c - Child's riboflavin intake (in milligram)
• nia_mg_c - Child's niacin intake (in milligrams)
• pyri_mg_c - Child's pyridoxin intake (in milligrams)
• fol_ug_c - Child's dietary folate intake (in micrograms)
• aacid_mg_c - Child's ascorbic acid intake (in milligrams)
• ret_ug_c - Child's retinol intake (in milligrams)
• carot_ug_c - Child's beta caroetene intake (in milligrams)
• calc_mg_c - Child's calcium intake (in milligrams)
• iron_mg_c - Child's iron intake (in milligrams)
• mag_mg_c - Child's magnesium intake (in milligrams)
• zinc_mg_c - Child's zinc intake (in milligrams)
• chol_mg_c - Child's cholesterol intake (in milligrams)
• sodi_mg_c - Child's sodium intake (in milligrams)
• satfat_mg_c - Child's saturated fat intake (in milligrams)
• munsatfat_mg_c - Child's monounsaturated fat intake (in milligrams)
• punsatfat_mg_c - Child's polyunsaturated fat intake (in milligrams)
• awc_code - Anganwadi code
• uid - Unique ID
• a2_infant_sex - Gender
• a0_twin - Does the child mentioned in the tracking have a twin brother/sister who is alive
• a4_twin_gender - Twin gender
• a6_hh_mem_adult - How many adult members does this household have?
• a7_hh_mem_child - How many children does this household have?
• c1_resp_cereal_1 - Did you eat any rice yesterday?
• c1_resp_cereal_2 - Did you eat any roti yesterday?
• c1_resp_cereal_3 - Did you eat any other grains yesterday?
• c1_resp_cereal_4 - Did you eat any bread or biscuits yesterday?
• c1_resp_cereal_5 - Did you eat any rice-based products yesterday?
• c1_resp_cereal_6 - Did you eat any chowmein, maggi, or noodles yesterday?
• c1_resp_cereal_99 - Did you eat nothing out of these cereals yesterday?
• c1_rice_utensil - Which utensil do you use to serve rice?
• c1_resp_qty_rice - How many utensils of rice did you have?
• c2_resp_qty_roti - How many rotis did you eat?
• c1_resp_legume_1 - Did you eat any dal yesterday?
• c1_resp_legume_2 - Did you eat any nuts yesterday?
• c1_resp_legume_3 - Did you eat any soyabean yesterday?
• c1_resp_legume_4 - Did you eat any satoo yesterday?
• c1_resp_legume_99 - Did you eat nothing out of these legumes yesterday?
• c1_resp_tuber_1 - Did you eat any potato yesterday?
• c1_resp_tuber_2 - Did you eat any breadruit, yam, lotus root, turnip, water chesnut, or green bana
• c1_resp_tuber_99 - Did you eat nothing out of these tubers yesterday?
• c1_resp_othveg_1 - Did you eat any food that contained onion or tomato?
• c1_resp_othveg_2 - Did you eat any other type of vegetable yesterday?
• c1_resp_othveg_99 - Did you eat nothing out of these other vegetables yesterday?
• c1_resp_fruit_1 - Did you eat papaya/jackfruit sabzi yesterday?
• c1_resp_fruit_2 - Did you eat any other fruits yesterday?
• c1_resp_fruit_99 - Did you eat nothing out of these fruits yesterday?
• c1_resp_dglveg - Did you eat any green leafy vegetables yesterday?
• c1_resp_orange_1 - Did you eat any orange vegetables yesterday?
• c1_resp_orange_2 - Did you eat any orange fruits yesterday?
• c1_resp_orange_99 - Did you eat nothing out of these orange/fruits vegetables yesterday?
• c1_resp_nveg_1 - Did you eat any eggs yesterday?
• c1_resp_nveg_2 - Did you eat any meat (mutton, pork, beef, snail) yesterday?
• c1_resp_nveg_3 - Did you eat any poultry yesterday?
• c1_resp_nveg_4 - Did you eat any organ meat yesterday?
• c1_resp_fats - Did you eat any oil, ghee, or butter yesterday?
• c1_resp_spices_1 - Did you eat any chilli or spices yesterday?
• c1_resp_spices_2 - Did you eat any pickle/chutney yesterday?
• c1_resp_spices_3 - Did you eat any tea/coffee yesterday?
• c1_resp_spices_4 - Did you eat any cold drinks yesterday?
• c1_resp_spices_5 - Did you eat any Horlicks/Protein powder yesterday?
• c1_resp_spices_99 - Did you eat nothing out of these spices yesterday?
• c1_resp_sweets_1 - Did you eat any kheer, halwa, ladoo, or mithai yesterday?
• c1_resp_sweets_2 - Did you eat any cake, chocolate, or ice cream yesterday?
• c1_resp_sweets_99 - Did you eat nothing out of these sweets yesterday?
• c1_resp_milk_1 - Did you eat any milk yesterday?
• c1_resp_milk_2 - Did you eat any milk products yesterday?
• c1_resp_milk_3 - Did you eat any lassi, chaach, or mattha yesterday?
• c1_resp_milk_99 - Did you eat nothing out of these milk products yesterday?
• c1_resp_junk - Did you eat any chips or kurkure yesterday?
• c29_resp_other - Specify other food item.
• h6_bank_acc_yesno - D1) Do you have a bank account?
• h10_wth_last - D2) When was the last time you tried to withdraw money from your account?
• h14_deposit - D3) When was the last time you deposited money in your account?
• d3_market_freq_phone - How many days in the last week did you or someone from your household go to the
• d4_market_spend_1_phone - How much money was spent on food items in visit #1
• d4_market_spend_2_phone - How much money was spent on food items in visit #2
• d4_market_spend_3_phone - How much money was spent on food items in visit #3
• d4_market_spend_4_phone - How much money was spent on food items in visit #4
• d4_market_spend_5_phone - How much money was spent on food items in visit #5
• d4_market_spend_6_phone - How much money was spent on food items in visit #6
• d4_market_spend_7_phone - How much money was spent on food items in visit #7
• d5_fps_freq_phone - How many times in the last month did you or someone from your household go to th
• why_ifopen_1 - Why did you not visit the FPS shop?: Did not want to pick it up/did not require
• why_ifopen_2 - Why did you not visit the FPS shop?: No transport available
• why_ifopen_3 - Why did you not visit the FPS shop?: Unable to move due to ill health/old age
• why_ifopen_4 - Why did you not visit the FPS shop?: Required items are not available
• why_ifopen_5 - Why did you not visit the FPS shop?: Scared of police
• why_ifopen_6 - Why did you not visit the FPS shop?: Because of crowd
• why_ifopen_7 - Why did you not visit the FPS shop?: Money shortage
• why_ifopen_8 - Why did you not visit the FPS shop?: Not close to alloted ration shop
• why_ifopen_9 - Why did you not visit the FPS shop?: Dealer refused to give ration
• why_ifopen_10 - Why did you not visit the FPS shop?: Do not have ration card
• why_ifopen_11 - Why did you not visit the FPS shop?: Ration shop is closed
• d6_fps_spend_1_phone - How much money was spent on food items in visit #1
• d6_fps_spend_2_phone - How much money was spent on food items in visit #2
• d6_fps_spend_3_phone - How much money was spent on food items in visit #3
• d7_supplies_spend - How much money was spent on household supplies and personal items in the last 30
• d8_edu_spend - How much money was spent on educational expenses in the last 30 days?
• d9_med_spend - How much money was spent on medical expenses in the last 30 days?
• d10_fuel_spend - How much money was spent on fuel or electricity in the last 30 label variable da
• d11_rent_spend - How much money was spent on house, land, or shop rent in the last 30 days?
• d12_farm_spend - How much money was spent on farm or business inputs in the last 30 days?
• d13_repair_spend - How much money was spent on repairs or maintenance of the house or business plac
• d14_assets_spend - How much money was spent on household assets in the last 30 days?
• d15_festivals_spend - How much money was sent on festivals, weddings, pujas, last rites etc in the las
• d16_travel_spend - How much money was spent on travelling in the last 30 days?
• d17_recharge_spend - How much money did you spend recharging your mobile in the last 30 days?
• d18_debt_spend - How much money did you spend on debt in the last 30 days?
• d19_other_spend - Did you spend money on anything else in the last 30 days?
• f1_withdrawal_possible - If you wished to withdraw money, would you be able to visit the bank/CSP/Pragya
• f2_withdrawal_times - Over the past two weeks, how many times have you visited the bank/CSP/Pragya Ken
• f3_market_possible_phone - If you wished to visit the market/kirana shop to purchase something, would you b
• a1_hh_size - How many members does this household have?
• monthly_food_expend_r1 - Monthly total expenditure on food
• resp_index_meat_foodgroup - DQI-I Meat Respondent Foodgroup
• resp_index_dairy_foodgroup - DQI-I Dairy Respondent Foodgroup
• resp_index_grains_foodgroup - DQI-I Grains Respondent Foodgroup
• resp_index_fruits_foodgroup - DQI-I Fruit Respondent Foodgroup
• resp_index_veg_foodgroup - DQI-I Veg Respondent Foodgroup
• resp_variety_foodgroup - Respondent Variety, food group (0-15)
• resp_index_meat_protein - Flesh Meat, protein variety
• resp_index_fish_protein - Seafood, protein variety
• resp_index_dairy_protein - Dairy, protein variety
• resp_index_beans_protein - Beans, protein variety
• resp_index_egg_protein - Egg, protein variety
• resp_proteinscore - Protein score to calc variety score
• resp_variety_protein - Respondent Variety, protein (0-5)
• dqii_resp - Respondent's DQI-I Score
• dd_index_resp_1 - Grains, roots and tubers
• dd_index_resp_2 - Legumes and nuts
• dd_index_resp_3 - Dairy products (milk, yogurt, cheese)
• dd_index_resp_4 - Flesh foods (meat, fish, poultry and liver/organ meats)
• dd_index_resp_5 - Eggs
• dd_index_resp_6 - Vitamin-A rich fruits and vegetables
• dd_index_resp_7 - Other fruits and vegetables
• dd_index_resp_score - Dietary Diversity Score (Resp- 0 to 7)
• resp_index_meat_binary - Meat Respondent binary
• resp_index_dairy_binary - Dairy Respondent binary
• resp_index_grains_binary - Grains Respondent binary
• resp_index_fruits_binary - Fruit Respondent binary
• resp_index_veg_binary - Veg Respondent binary
• nveg_resp_egg - Egg
• nveg_resp_fmeat - Flesh Meat
• nveg_resp_omeat - Organ Meat
• nveg_resp_sfood - Seafood
• c1_child_cereal_1 - Did your child eat any rice yesterday?
• c1_child_cereal_2 - Did your child eat any roti yesterday?
• c1_child_cereal_3 - Did your child eat any other grains yesterday?
• c1_child_cereal_4 - Did your child eat any bread or biscuits yesterday?
• c1_child_cereal_5 - Did your child eat any rice-based products yesterday?
• c1_child_cereal_6 - Did your child eat any chowmein, maggi, or noodles yesterday?
• c1_child_cereal_99 - Did your child eat nothing out of these cereals yesterday?
• c1_child_qty_rice - How many utensils of rice did your child eat yesterday?
• c2_child_qty_roti - How many rotis did your child eat yesterday?
• c1_child_legume_1 - Did your child eat any dal yesterday?
• c1_child_legume_2 - Did your child eat any nuts yesterday?
• c1_child_legume_3 - Did your child eat any soyabean yesterday?
• c1_child_legume_4 - Did your child eat any satoo yesterday?
• c1_child_legume_99 - Did your child eat nothing out of these legumes yesterday?
• c1_child_tuber_1 - Did your child eat any potato yesterday?
• c1_child_tuber_2 - Did your child eat any breadfruit, yam, lotus root, turnip, water chesnut, or gr
• c1_child_tuber_99 - Did your child eat nothing out of these tubers yesterday?
• c1_child_othveg_1 - Did your child eat any food that contained onion or tomato yesterday?
• c1_child_othveg_2 - Did your child eat any other type of vegetable yesterday?
• c1_child_othveg_99 - Did your child eat nothing out of these other vegetables yesterday?
• c1_child_fruit_1 - Did your child eat any papaya/jackfruit sabzi yesterday?
• c1_child_fruit_2 - Did your child eat any other fruits yesterday?
• c1_child_fruit_99 - Did your child eat nothing out of these fruits yesterday?
• c1_child_dglveg - Did your child eat any green leafy vegetables yesterday?
• c1_child_orange_1 - Did your child eat any orange vegetables yesterday?
• c1_child_orange_2 - Did your child eat any orange fruits yesterday?
• c1_child_orange_99 - Did your child eat nothing out of these orange fruits and vegetables yesterday?
• c1_child_nveg_1 - Did your child eat any eggs yesterday?
• c1_child_nveg_2 - Did your child eat any meat (mutton, pork, beef, snail) yesterday?
• c1_child_nveg_3 - Did your child eat any poultry yesterday?
• c1_child_nveg_4 - Did your child eat any organ meat yesterday?
• c1_child_nveg_99 - Did your child eat nothing out of these non-veg yesterday?
• c1_child_fats - Did your child eat any ghee, oil, or butter yesterday?
• c1_child_spices_1 - Did your child eat any chilli or spices yesterday?
• c1_child_spices_2 - Did your child eat any pickle/chutney yesterday?
• c1_child_spices_3 - Did your child eat any tea/coffee yesterday?
• c1_child_spices_4 - Did your child eat any cold drinks yesterday?
• c1_child_spices_5 - Did your child eat any Horlicks/protein powder yesterday?
• c1_child_spices_99 - Did your child eat nothing out of these spices yesterday?
• c1_child_sweets_1 - Did your child eat any kheer, halwa, ladoo, or mithai yesterday?
• c1_child_sweets_2 - Did your child eat any cake, chocolate, or ice cream yesterday?
• c1_child_sweets_99 - Did your child eat nothing out of these sweets yesterday?
• c1_child_milk_1 - Did your child eat any milk yesterday?
• c1_child_milk_2 - Did your child eat any milk products yesterday?
• c1_child_milk_3 - Did your child eat any lassi, chaach, or mattha yesterday?
• c1_child_milk_99 - Did your child eat nothing out of these milk products yesterday?
• c1_child_junk - Did your child eat any chips or kurkure yesterday?
• c29_child_other - Please specify other food item.
• c30_child_mealfreq - How many times yesterday did your child eat any solid, semi-solid, or soft food?
• child_bm_yn - Did you breastfeed your child yesterday?
• c2_chld_disease2 - B2.2) What types of illnesses did your child have over the last 3 months?: Diarr
• c2_chld_disease1 - B2.1) What types of illnesses did your child have over the last 3 months?: Cold/
• c2_chld_disease3 - B2.3) What types of illnesses did your child have over the last 3 months?: Malar
• c2_chld_disease4 - B2.4) What types of illnesses did your child have over the last 3 months?: Measl
• c2_chld_disease5 - B2.5) What types of illnesses did your child have over the last 3 months?: Pneum
• c2_chld_disease6 - B2.6) What types of illnesses did your child have over the last 3 months?: Physi
• c2_chld_disease7 - B2.7) What types of illnesses did your child have over the last 3 months?: Skin
• c2_chld_disease8 - B2.8) What types of illnesses did your child have over the last 3 months?: Sarfa
• c2_chld_disease9 - B2.9) What types of illnesses did your child have over the last 3 months?: Criti
• c2_chld_disease10 - B2.10) What types of illnesses did your child have over the last 3 months?: Typh
• c3_1_child_doc_gov - B3.1) Government Doctor/ Hospital/ Clinic/ PHC
• c3_2_child_doc_pvt - B3.2) Private Doctor/ Hospital/ Clinic
• c3_3_child_anm - B3.3) ANM/ Sub-centre
• b4_child_illess_days - For how many days was your child unwell in the last 1 month?
• unwell_doctor_child - Did child see formal care provider?
• number_illness_child - Number of illnesses child has
• dd_index_child_1 - Grains, roots and tubers
• dd_index_child_2 - Legumes and nuts
• dd_index_child_3 - Dairy products (milk, yogurt, cheese)
• dd_index_child_4 - Flesh foods (meat, fish, poultry and liver/organ meats)
• dd_index_child_5 - Eggs
• dd_index_child_6 - Vitamin-A rich fruits and vegetables
• dd_index_child_7 - Other fruits and vegetables
• dd_index_child_score - Dietary Diversity Score
• mmf_child - Minimum Meal Frequency
• child_index_meat_binary - Meat Child binary
• child_index_dairy_binary - Dairy Child binary
• child_index_grains_binary - Grains Child binary
• child_index_fruits_binary - Fruit Child binary
• child_index_veg_binary - Veg Child binary
• nveg_child_egg - Egg
• nveg_child_fmeat - Flesh Meat
• nveg_child_omeat - Organ Meat
• nveg_child_sfood - Seafood
• min_dd_child - Minimum Dietary Diversity Score
• uid - Unique ID
• awc_code - Anganwadi code
• a0_twin - Does this child have a twin?
• a2_infant_sex - A2) Child gender
• child_age_mnth - Age of child in months (rounded)
• a7_2_infant_mob - A7.2) Month in which the child was born
• a7_3_infant_yob - A7.3) Year in which the child was born
• b1_1_mothr_wgt_t1 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 1)
• b1_2_mthr_chld_wgt_t1 - B1.2) Respondent and Child together (in kilos, trial 1)
• b1_3_child_wgt_t1 - B1.2) Child's weight (in kilos, trial 1)
• b2_1_mothr_wgt_t2 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 2)
• b2_2_mthr_chld_wgt_t2 - B2.2) Respondent and Child together (in kilos, trial 2)
• b2_3_child_wgt_t2 - B1.2) Child's weight (in kilos, trial 2)
• b3_1_mothr_wgt_t3 - B1.1) Respondent Weight only (without child respondent) (in kilos, trial 3)
• b3_2_mthr_chld_wgt_t3 - B3.2) Respondent and Child together (in kilos, trial 3)
• b3_3_child_wgt_t3 - B1.2) Child's weight (in kilos, trial 3)
• mothr_wgt - Mother's weight, in kilos
• child_wgt - Child's weight, in kilos
• waz - Child's weight-for-age z-score
• b4_preg_yesno - Are you currently pregnant?
• b4_1_preg_age - Which trimester are you currently in?
• b5_heavy_drss_yesno - Did the respondent wear heavy materials during the measurment?
• b5_1_heavy_drss_1 - Was the respondent wearing a jacket while being measured?
• b5_1_heavy_drss_2 - Was the respondent wearing a sweater while being measured?
• b5_1_heavy_drss_3 - Was the respondent wearing a heavy shawl while being measured?
• b5_1_heavy_drss_4 - Was the respondent wearing heavy blanket or quilt while being measured?
• b5_1_heavy_drss_5 - Was the respondent wearing heavy sari while being measured?
• b5_1_heavy_drss_6 - Was the respondent wearing heavy jewellery while being measured?
• b6_flat_srfc - Was a flat surface available in the household to keep the weighing scale for mea
• b7_height_t1 - B7.1) Child's height (in cms, trial 1)
• b7_height_t2 - B7.2) Child's height (in cms, trial 2)
• b7_height_t3 - B7.3) Child's height (in cms, trial 3)
• child_hgt - Child's height in cms
• haz - Child's height-for-age z-score
• whz - Child's weight-for-height-for-age z-score
• bmiz - Child's BMI z-score
• b9_knees_pressed - B9) Were the child's knees pressed to the mat?
• b10_child_unwell_today - B10) Is the child unwell today?
• b11_child_unwell_1 - Was your child unwell today with: Cold/Cough/Fever
• b11_child_unwell_10 - Was your child unwell today with: Typhoid
• b11_child_unwell_2 - Was your child unwell today with: Diarrhea/ Vomiting/ Stomach infections
• b11_child_unwell_3 - Was your child unwell today with: Malaria/ Jaundice/ Dengue/ Other vector borne
• b11_child_unwell_4 - Was your child unwell today with: Measles/ Chickenpox
• b11_child_unwell_5 - Was your child unwell today with: Pneumonia
• b11_child_unwell_6 - Was your child unwell today with: Physical injuries/ fracture
• b11_child_unwell_7 - Was your child unwell today with: Skin infection
• b11_child_unwell_8 - Was your child unwell today with: Sarfata
• b11_child_unwell_9 - Was your child unwell today with: Critical illness like cancer or heart problem
• b12_older_siblings - B12) How many older siblings does the child have?
• b13_younger_siblings - B13) How many younger siblings does the child have?
• c1_child_unwell - C1) Was the child unwell in the last 3 months?
• c2_child_disease_1 - In the last 3 months did your child have: Cold/Cough/Fever
• c2_child_disease_2 - In the last 3 months did your child have: Diarrhea/ Vomiting/ Stomach infections
• c2_child_disease_3 - In the last 3 months did your child have: Malaria/ Jaundice/ Dengue/ Other vecto
• c2_child_disease_4 - In the last 3 months did your child have: Measles/ Chickenpox
• c2_child_disease_5 - In the last 3 months did your child have: Pneumonia
• c2_child_disease_6 - In the last 3 months did your child have: Physical injuries/ fracture
• c2_child_disease_7 - In the last 3 months did your child have: Skin infection
• c2_child_disease_8 - In the last 3 months did your child have: Sarfata
• c2_child_disease_9 - In the last 3 months did your child have: Critical illness like cancer or heart
• c2_child_disease_10 - In the last 3 months did your child have: Typhoid
• c3_1_child_doc_gov - C3.1) Government Doctor/ Hospital/ Clinic/ PHC
• c3_2_child_doc_pvt - C3.2) Private Doctor/ Hospital/ Clinic
• c3_3_child_anm - C3.3) ANM/ Sub-centre
• e1_drinking_water_source - E1) What is the main source of drinking water for this household?
• e2_1_toilet_yn - E2) Does your household have a toilet?
• e2_toilet - E2) Does your household use a toilet?
• e3_toilet_location - E3) Where is the nearest toilet located?
• e4_handwash - E4) Does your household have a handwashing station?
• uid - Unique ID
• awc_code - AWC code
• a1_hh_size - A.1) How many members are there in your HH?
• a4_gender_1 - A4.1) Sex of hh member #1
• a5_ben_relatn_1 - A5.1) Relationship between hh member #1 and respondent
• a6_hh_age_chck_1 - A6.1) Is hh member #1 an adult or infant?
• a6_hh_membr_age_adl_1 - A6.1.1) Age of hh member #1 in years (if adult)
• a7_5_oth_child_age_1 - A7.2.1) Age of child (in years)
• a7_5_oth_child_gender_1 - A7.3.1) Gender of child
• a4_gender_2 - A4.2) Sex of hh member #2
• a5_ben_relatn_2 - A5.2) Relationship between hh member #2 and respondent
• a6_hh_age_chck_2 - A6.2) Is hh member #2 an adult or infant?
• a6_hh_membr_age_adl_2 - A6.1.2) Age of hh member #2 in years (if adult)
• a6_hh_membr_age_inf_2 - A6.1.2) Age of hh member #2 in months (if infant)
• a7_4_mcp_yn_2 - A7.2) Can you show me hh member #2's MCP card?
• a7_4_1_mcp_count_2 - A7.1.2) Number of immunisations for hh member #2
• a7_5_oth_child_age_2 - A7.2.2) Age of child (in years)
• a7_5_oth_child_gender_2 - A7.3.2) Gender of child
• a4_gender_3 - A4.3) Sex of hh member #3
• a5_ben_relatn_3 - A5.3) Relationship between hh member #3 and respondent
• a6_hh_age_chck_3 - A6.3) Is hh member #3 an adult or infant?
• a6_hh_membr_age_adl_3 - A6.1.3) Age of hh member #3 in years (if adult)
• a6_hh_membr_age_inf_3 - A6.1.3) Age of hh member #3 in months (if infant)
• a7_4_mcp_yn_3 - A7.3) Can you show me hh member #3's MCP card?
• a7_4_1_mcp_count_3 - A7.1.3) Number of immunisations for hh member #3
• a7_5_oth_child_age_3 - A7.2.3) Age of child (in years)
• a7_5_oth_child_gender_3 - A7.3.3) Gender of child
• a4_gender_4 - A4.4) Sex of hh member #4
• a5_ben_relatn_4 - A5.4) Relationship between hh member #4 and respondent
• a6_hh_age_chck_4 - A6.4) Is hh member #4 an adult or infant?
• a6_hh_membr_age_adl_4 - A6.1.4) Age of hh member #4 in years (if adult)
• a6_hh_membr_age_inf_4 - A6.1.4) Age of hh member #4 in months (if infant)
• a7_4_mcp_yn_4 - A7.4) Can you show me hh member #4's MCP card?
• a7_4_1_mcp_count_4 - A7.1.4) Number of immunisations for hh member #4
• a4_gender_5 - A4.5) Sex of hh member #5
• a5_ben_relatn_5 - A5.5) Relationship between hh member #5 and respondent
• a6_hh_age_chck_5 - A6.5) Is hh member #5 an adult or infant?
• a6_hh_membr_age_adl_5 - A6.1.5) Age of hh member #5 in years (if adult)
• a6_hh_membr_age_inf_5 - A6.1.5) Age of hh member #5 in months (if infant)
• a7_4_mcp_yn_5 - A7.5) Can you show me hh member #5's MCP card?
• a7_4_1_mcp_count_5 - A7.1.5) Number of immunisations for hh member #5
• a4_gender_6 - A4.6) Sex of hh member #6
• a5_ben_relatn_6 - A5.6) Relationship between hh member #6 and respondent
• a6_hh_age_chck_6 - A6.6) Is hh member #6 an adult or infant?
• a6_hh_membr_age_adl_6 - A6.1.6) Age of hh member #6 in years (if adult)
• a6_hh_membr_age_inf_6 - A6.1.6) Age of hh member #6 in months (if infant)
• a7_4_mcp_yn_6 - A7.6) Can you show me hh member #6's MCP card?
• a7_4_1_mcp_count_6 - A7.1.6) Number of immunisations for hh member #6
• a4_gender_7 - A4.7) Sex of hh member #7
• a5_ben_relatn_7 - A5.7) Relationship between hh member #7 and respondent
• a6_hh_age_chck_7 - A6.7) Is hh member #7 an adult or infant?
• a6_hh_membr_age_adl_7 - A6.1.7) Age of hh member #7 in years (if adult)
• a6_hh_membr_age_inf_7 - A6.1.7) Age of hh member #7 in months (if infant)
• a7_4_mcp_yn_7 - A7.7) Can you show me hh member #7's MCP card?
• a7_4_1_mcp_count_7 - A7.1.7) Number of immunisations for hh member #7
• a4_gender_8 - A4.8) Sex of hh member #8
• a5_ben_relatn_8 - A5.8) Relationship between hh member #8 and respondent
• a6_hh_age_chck_8 - A6.8) Is hh member #8 an adult or infant?
• a6_hh_membr_age_adl_8 - A6.1.8) Age of hh member #8 in years (if adult)
• a6_hh_membr_age_inf_8 - A6.1.8) Age of hh member #8 in months (if infant)
• a7_4_mcp_yn_8 - A7.8) Can you show me hh member #8's MCP card?
• a7_4_1_mcp_count_8 - A7.1.8) Number of immunisations for hh member #8
• a4_gender_9 - A4.9) Sex of hh member #9
• a5_ben_relatn_9 - A5.9) Relationship between hh member #9 and respondent
• a6_hh_age_chck_9 - A6.9) Is hh member #9 an adult or infant?
• a6_hh_membr_age_adl_9 - A6.1.9) Age of hh member #9 in years (if adult)
• a6_hh_membr_age_inf_9 - A6.1.9) Age of hh member #9 in months (if infant)
• a7_4_mcp_yn_9 - A7.9) Can you show me hh member #9's MCP card?
• a7_4_1_mcp_count_9 - A7.1.9) Number of immunisations for hh member #9
• a4_gender_10 - A4.10) Sex of hh member #10
• a5_ben_relatn_10 - A5.10) Relationship between hh member #10 and respondent
• a6_hh_age_chck_10 - A6.10) Is hh member #10 an adult or infant?
• a6_hh_membr_age_adl_10 - A6.1.10) Age of hh member #10 in years (if adult)
• a6_hh_membr_age_inf_10 - A6.1.10) Age of hh member #10 in months (if infant)
• a7_4_mcp_yn_10 - A7.10) Can you show me hh member #10's MCP card?
• a7_4_1_mcp_count_10 - A7.1.10) Number of immunisations for hh member #10
• a4_gender_11 - A4.11) Sex of hh member #11
• a5_ben_relatn_11 - A5.11) Relationship between hh member #11 and respondent
• a6_hh_age_chck_11 - A6.11) Is hh member #11 an adult or infant?
• a6_hh_membr_age_adl_11 - A6.1.11) Age of hh member #11 in years (if adult)
• a7_4_mcp_yn_11 - A7.11) Can you show me hh member #11's MCP card?
• a4_gender_12 - A4.12) Sex of hh member #12
• a5_ben_relatn_12 - A5.12) Relationship between hh member #12 and respondent
• a6_hh_age_chck_12 - A6.12) Is hh member #12 an adult or infant?
• a6_hh_membr_age_adl_12 - A6.1.12) Age of hh member #12 in years (if adult)
• a7_4_mcp_yn_12 - A7.12) Can you show me hh member #12's MCP card?
• a7_4_1_mcp_count_12 - A7.1.12) Number of immunisations for hh member #12
• a4_gender_13 - A4.13) Sex of hh member #13
• a5_ben_relatn_13 - A5.13) Relationship between hh member #13 and respondent
• a6_hh_age_chck_13 - A6.13) Is hh member #13 an adult or infant?
• a6_hh_membr_age_adl_13 - A6.1.13) Age of hh member #13 in years (if adult)
• a7_4_mcp_yn_13 - A7.13) Can you show me hh member #13's MCP card?
• a7_4_1_mcp_count_13 - A7.1.13) Number of immunisations for hh member #13
• a4_gender_14 - A4.14) Sex of hh member #14
• a5_ben_relatn_14 - A5.14) Relationship between hh member #14 and respondent
• a6_hh_age_chck_14 - A6.14) Is hh member #14 an adult or infant?
• a6_hh_membr_age_adl_14 - A6.1.14) Age of hh member #14 in years (if adult)
• a7_4_mcp_yn_14 - A7.14) Can you show me hh member #14's MCP card?
• a7_4_1_mcp_count_14 - A7.1.14) Number of immunisations for hh member #14
• a4_gender_15 - A4.15) Sex of hh member #15
• a5_ben_relatn_15 - A5.15) Relationship between hh member #15 and respondent
• a6_hh_age_chck_15 - A6.15) Is hh member #15 an adult or infant?
• a6_hh_membr_age_adl_15 - A6.1.15) Age of hh member #15 in years (if adult)
• a7_4_mcp_yn_15 - A7.15) Can you show me hh member #15's MCP card?
• a4_gender_16 - A4.16) Sex of hh member #16
• a5_ben_relatn_16 - A5.16) Relationship between hh member #16 and respondent
• a6_hh_age_chck_16 - A6.16) Is hh member #16 an adult or infant?
• a6_hh_membr_age_adl_16 - A6.1.16) Age of hh member #16 in years (if adult)
• a6_hh_membr_age_inf_16 - A6.1.16) Age of hh member #16 in months (if infant)
• a7_4_mcp_yn_16 - A7.16) Can you show me hh member #16's MCP card?
• a4_gender_17 - A4.17) Sex of hh member #17
• a5_ben_relatn_17 - A5.17) Relationship between hh member #17 and respondent
• a6_hh_age_chck_17 - A6.17) Is hh member #17 an adult or infant?
• a6_hh_membr_age_adl_17 - A6.1.17) Age of hh member #17 in years (if adult)
• a7_4_mcp_yn_17 - A7.17) Can you show me hh member #17's MCP card?
• a4_gender_18 - A4.18) Sex of hh member #18
• a5_ben_relatn_18 - A5.18) Relationship between hh member #18 and respondent
• a6_hh_age_chck_18 - A6.18) Is hh member #18 an adult or infant?
• a6_hh_membr_age_adl_18 - A6.1.18) Age of hh member #18 in years (if adult)
• a7_4_mcp_yn_18 - A7.18) Can you show me hh member #18's MCP card?
• a7_4_1_mcp_count_18 - A7.1.18) Number of immunisations for hh member #18
• a4_gender_19 - A4.19) Sex of hh member #19
• a5_ben_relatn_19 - A5.19) Relationship between hh member #19 and respondent
• a6_hh_age_chck_19 - A6.19) Is hh member #19 an adult or infant?
• a6_hh_membr_age_adl_19 - A6.1.19) Age of hh member #19 in years (if adult)
• a7_4_mcp_yn_19 - A7.19) Can you show me hh member #19's MCP card?
• a4_gender_20 - A4.20) Sex of hh member #20
• a5_ben_relatn_20 - A5.20) Relationship between hh member #20 and respondent
• a6_hh_age_chck_20 - A6.20) Is hh member #20 an adult or infant?
• a6_hh_membr_age_adl_20 - A6.1.20) Age of hh member #20 in years (if adult)
• a7_4_mcp_yn_20 - A7.20) Can you show me hh member #20's MCP card?
• a4_gender_21 - A4.21) Sex of hh member #21
• a5_ben_relatn_21 - A5.21) Relationship between hh member #21 and respondent
• a6_hh_age_chck_21 - A6.21) Is hh member #21 an adult or infant?
• a6_hh_membr_age_adl_21 - A6.1.21) Age of hh member #21 in years (if adult)
• a4_gender_22 - A4.22) Sex of hh member #22
• a5_ben_relatn_22 - A5.22) Relationship between hh member #22 and respondent
• a6_hh_age_chck_22 - A6.22) Is hh member #22 an adult or infant?
• a6_hh_membr_age_adl_22 - A6.1.22) Age of hh member #22 in years (if adult)
• a4_gender_23 - A4.23) Sex of hh member #23
• a5_ben_relatn_23 - A5.23) Relationship between hh member #23 and respondent
• a6_hh_age_chck_23 - A6.23) Is hh member #23 an adult or infant?
• a6_hh_membr_age_adl_23 - A6.1.23) Age of hh member #23 in years (if adult)
• a7_4_mcp_yn_23 - A7.23) Can you show me hh member #23's MCP card?
• a7_4_1_mcp_count_23 - A7.1.23) Number of immunisations for hh member #23
• a4_gender_24 - A4.24) Sex of hh member #24
• a5_ben_relatn_24 - A5.24) Relationship between hh member #24 and respondent
• a6_hh_age_chck_24 - A6.24) Is hh member #24 an adult or infant?
• a6_hh_membr_age_adl_24 - A6.1.24) Age of hh member #24 in years (if adult)
• a4_gender_25 - A4.25) Sex of hh member #25
• a5_ben_relatn_25 - A5.25) Relationship between hh member #25 and respondent
• a6_hh_age_chck_25 - A6.25) Is hh member #25 an adult or infant?
• a6_hh_membr_age_adl_25 - A6.1.25) Age of hh member #25 in years (if adult)
• a4_gender_26 - A4.26) Sex of hh member #26
• a5_ben_relatn_26 - A5.26) Relationship between hh member #26 and respondent
• a6_hh_age_chck_26 - A6.26) Is hh member #26 an adult or infant?
• a6_hh_membr_age_adl_26 - A6.1.26) Age of hh member #26 in years (if adult)
• a4_gender_27 - A4.27) Sex of hh member #27
• a5_ben_relatn_27 - A5.27) Relationship between hh member #27 and respondent
• a6_hh_age_chck_27 - A6.27) Is hh member #27 an adult or infant?
• a6_hh_membr_age_adl_27 - A6.1.27) Age of hh member #27 in years (if adult)
• a4_gender_28 - A4.28) Sex of hh member #28
• a5_ben_relatn_28 - A5.28) Relationship between hh member #28 and respondent
• a6_hh_age_chck_28 - A6.28) Is hh member #28 an adult or infant?
• a7_4_mcp_yn_28 - A7.28) Can you show me hh member #28's MCP card?
• a7_4_1_mcp_count_28 - A7.1.28) Number of immunisations for hh member #28
• a4_gender_29 - A4.29) Sex of hh member #29
• a5_ben_relatn_29 - A5.29) Relationship between hh member #29 and respondent
• a6_hh_age_chck_29 - A6.29) Is hh member #29 an adult or infant?
• a6_hh_membr_age_adl_29 - A6.1.29) Age of hh member #29 in years (if adult)
• a4_gender_30 - A4.30) Sex of hh member #30
• a5_ben_relatn_30 - A5.30) Relationship between hh member #30 and respondent
• a6_hh_age_chck_30 - A6.30) Is hh member #30 an adult or infant?
• a7_4_mcp_yn_30 - A7.30) Can you show me hh member #30's MCP card?
• a4_gender_31 - A4.31) Sex of hh member #31
• a5_ben_relatn_31 - A5.31) Relationship between hh member #31 and respondent
• a6_hh_age_chck_31 - A6.31) Is hh member #31 an adult or infant?
• a6_hh_membr_age_adl_31 - A6.1.31) Age of hh member #31 in years (if adult)
• a4_gender_32 - A4.32) Sex of hh member #32
• a5_ben_relatn_32 - A5.32) Relationship between hh member #32 and respondent
• a6_hh_age_chck_32 - A6.32) Is hh member #32 an adult or infant?
• a6_hh_membr_age_adl_32 - A6.1.32) Age of hh member #32 in years (if adult)
• total_calories_pc - Total number of calories consumed per capita in the household
• total_calories_mom - Total number of calories consumed by the respondent
• total_empty_calories_mom - Total number of empty calories consumed by the respondent
• rice_tot_cal_mom - Total number of calories consumed by the respondent from rice
• roti_tot_cal_mom - Total number of calories consumed by the respondent from roti
• dal_tot_cal_mom - Total number of calories consumed by the respondent from dal
• sbz_tot_cal_mom - Total number of calories consumed by the respondent from sabzi
• bhj_tot_cal_mom - Total number of calories consumed by the respondent from bhunjia
• sag_tot_cal_mom - Total number of calories consumed by the respondent from saag
• nv_tot_cal_mom - Total number of calories consumed by the respondent from non-veg
• khr_tot_cal_mom - Total number of calories consumed by the respondent from mithai/ desserts
• kchd_tot_cal_mom - Total number of calories consumed by the respondent from khichdi/ pulao/ fried r
• prot_g_mom - Respondent's protein intake (in grams)
• vfat_g_mom - Respondent's visible fat intake (in g)
• fiber_g_mom - Respondent's fiber intake (in grams)
• carb_g_mom - Respondent's carbohyderate intake (in grams)
• thia_mg_mom - Respondent's thiamin intake (in milligrams)
• ribo_mg_mom - Respondent's riboflavin intake (in milligrams)
• nia_mg_mom - Respondent's niacin intake (in milligrams)
• pyri_mg_mom - Respondent's pyridoxin intake (in milligrams)
• fol_ug_mom - Respondent's dietary folate intake (in micrograms)
• aacid_mg_mom - Respondent's ascorbic acid intake (in milligrams)
• ret_ug_mom - Respondent's retinol intake (in micrograms)
• carot_ug_mom - Respondent's beta carotene intake (in micrograms)
• calc_mg_mom - Respondent's calcium intake (in milligrams)
• iron_mg_mom - Respondent's iron intake (in milligrams)
• mag_mg_mom - Respondent's magnesium intake (in milligrams)
• zinc_mg_mom - Respondent's zinc intake (in milligrams)
• chol_mg_mom - Respondent's cholesterol intake (in milligrams)
• sodi_mg_mom - Respondent's sodium intake (in milligrams)
• satfat_mg_mom - Respondent's saturated fat intake (in milligrams)
• pct_calories_from_protein_mom - Percent of respondent's total calories from protein
• nutrient_index - Respondent's nutrient index
• prot_perc_mom_zscore - Z-score of respondent's recommended protein intake
• vfat_perc_mom_zscore - Z-score of respondent's recommended visible fat intake
• fiber_perc_mom_zscore - Z-score of respondent's recommended fiber intake
• thia_perc_mom_zscore - Z-score of respondent's recommended thiamin intake
• ribo_perc_mom_zscore - Z-score of respondent's recommended riboflavin intake
• nia_perc_mom_zscore - Z-score of respondent's recommended niacin intake
• pyri_perc_mom_zscore - Z-score of respondent's recommended pyridoxin intake
• fol_perc_mom_zscore - Z-score of respondent's recommended folate intake
• aacid_perc_mom_zscore - Z-score of respondent's recommended ascorbic acid intake
• ret_perc_mom_zscore - Z-score of respondent's recommended retinol intake
• carot_perc_mom_zscore - Z-score of respondent's recommended beta carotene intake
• calc_perc_mom_zscore - Z-score of respondent's recommended calcium intake
• iron_perc_mom_zscore - Z-score of respondent's recommended iron intake
• mag_perc_mom_zscore - Z-score of respondent's recommended magnesium intake
• zinc_perc_mom_zscore - Z-score of respondent's recommended zinc intake
• chol_perc_mom_zscore - Z-score of respondent's recommended cholesterol intake
• sodi_perc_mom_zscore - Z-score of respondent's recommended sodium intake
• calories_perc_mom_zscore - Z-score of respondent's recommended calorie intake
• mddm - Did the respondent meet the minimum dietary diversity?
• mddmgrains - Minimum dietary diversity: Did the respondent consume grains yesterday?
• mddmlegumesnuts - Minimum dietary diversity: Did the respondent consume legumes or nuts yesterday?
• mddmdairy - Minimum dietary diversity: Did the respondent consume dairy yesterday?
• mddmfleshfood - Minimum dietary diversity: Did the respondent consume flesh foods yesterday?
• mddmeggs - Minimum dietary diversity: Did the respondent consume eggs yesterday?
• mddmvitamina - Minimum dietary diversity: Did the respondent consume fruits or veg rich in vita
• mddmotherfruitveg - Minimum dietary diversity: Did the respondent consume other fruits or veg yester
• tea_cd_yesno - Did the respondent consume tea yesterday?
• dqii_score_mom - Respondent's DQI-I score
• variety_score_mom - Respondent's variety score
• var_prot_score_mom - Variety score: Respondent's protein score
• var_dairybeans_mom - Variety score: Did the respondent consume dairy or beans in the last 24 hours?
• var_nonveg_mom - Variety score: Did the respondent consume non-veg in the last 24 hours?
• var_fruits_mom - Variety score: Did the respondent consume fruit in the last 24 hours?
• var_vegetables_mom - Variety score: Did the respondent consume vegetables in the last 24 hours?
• var_grains_mom - Variety score: Did the respondent consume grains in the last 24 hours?
• var_prot_meat_mom - Variety score: Did the respondent consume protein from meat in the last 24 hours
• var_prot_poultry_mom - Variety score: Did the respondent consume protein from poultry in the last 24 ho
• var_prot_fish_mom - Variety score: Did the respondent consume protein from fish in the last 24 hours
• var_prot_dairy_mom - Variety score: Did the respondent consume protein from dairy in the last 24 hour
• var_prot_beans_mom - Variety score: Did the respondent consume protein from beans in the last 24 hour
• var_prot_eggs_mom - Variety score: Did the respondent consume protein from eggs in the last 24 hours
• var_prot_types_mom - Number of different protein types consumed by the mother
• adequacy_score_mom - Respondent's adequacy score
• fruits_adeq_mom - Adequacy score: Respondent consumed fruits (based on % RDA met)
• veg_adeq_mom - Adequacy score: Respondent consumed vegetables (based on % RDA met)
• grains_adeq_mom - Adequacy score: Respondent consumed grains (based on % RDA met)
• fiber_adeq_mom - Adequacy score: Respondent consumed fiber (based on % RDA met)
• prot_adeq_mom - Adequacy score: Respondent consumed protein (based on % RDA met)
• iron_adeq_mom - Adequacy score: Respondent consumed iron (based on % RDA met)
• calc_adeq_mom - Adequacy score: Respondent consumed calcium (based on % RDA met)
• aacid_adeq_mom - Adequacy score: Respondent consumed vitamin C (based on % RDA met)
• moderation_score_mom - Respondent moderation score
• moderation_vfat - Moderation score: Respondent consumed fat (based on % RDA met)
• moderation_satfat - Moderation score: Respondent consumed saturated fats (based on % RDA met)
• moderation_chol - Moderation score: Respondent consumed cholesterol (based on % RDA met)
• moderation_sodi - Moderation score: Respondent consumed sodium (based on % RDA met)
• moderation_empty_cal - Moderation score: Respondent consumed empty calories (based on % RDA met)
• balance_score_mom - Respondent's balance score
• balance_macronut_ratio - Balance score: Respondent macronutrient ratio
• balance_ratio_pufa_sfa - Balance score: ratio of polyunsaturated fats to saturated fats
• balance_ratio_mufa_sfa - Balance score: ratio of monounsaturated fats to saturated fats
• balance_fatty_acid_ratio - Balance score fatty acid ratio
• total_calories_c - Total number of calories consumed by the child
• rice_tot_cal_c - Total number of calories consumed by the child from rice
• roti_tot_cal_c - Total number of calories consumed by the child from roti
• dal_tot_cal_c - Total number of calories consumed by the child from dal
• sbz_tot_cal_c - Total number of calories consumed by the child from sabzi
• bhj_tot_cal_c - Total number of calories consumed by the child from bhunjia
• sag_tot_cal_c - Total number of calories consumed by the child from saag
• nv_tot_cal_c - Total number of calories consumed by the child from non-veg
• khr_tot_cal_c - Total number of calories consumed by the child from mithai/ desserts
• kchd_tot_cal_c - Total number of calories consumed by the child from khichdi/ pulao/ fried rice/
• breastfed - Number of times child was breastfed during the day
• mmf - Did the child meet the minimum meal frequency?
• mddc - Did the child meet the minimum dietary diversity?
• mddcgrains - Minimum dietary diversity: Did the child consume grains yesterday?
• mddclegumesnuts - Minimum dietary diversity: Did the child consume legumes or nuts yesterday?
• mddcdairy - Minimum dietary diversity: Did the child consume dairy yesterday?
• mddcfleshfood - Minimum dietary diversity: Did the child consume flesh foods yesterday?
• mddceggs - Minimum dietary diversity: Did the child consume eggs yesterday?
• mddcvitamina - Minimum dietary diversity: Did the child consume fruits or veg rich in vitamin A
• mddcotherfruitveg - Minimum dietary diversity: Did the child consume other fruits or veg yesterday?
• iron_yn - Did the respondent consume iron tablets yesterday?
• calc_yn - Did the respondent consume calcium tablets yesterday?
• depress_index - Depression score out of 5
• e4_1_1 - E4.1) In the last 2 weeks, how often have you felt nervous or stressed
• e4_1_2 - E4.2) In the last two weeks did you feel that you couldn't manage all tasks?
• e4_1_3 - E4.3) In the last 2 weeks, how often did you have trouble falling or staying asl
• e4_1_4 - E4.4) In the last 2 weeks, how often were you feeling tired or having little ene
• e4_1_5 - E4.5) In the last 2 weeks, how often were you having trouble concentrating on th
• e_5_stress - E5) Taking all things together, how happy would you say you are?
• e_6_1_stress_oth_yn - E6) Were there other people present during this section on stress?
• e_6_1_stress_oth_1 - E6.1) Respondent's husband was present during this section
• e_6_1_stress_oth_2 - E6.2) Respondent's mother-in-law was present during this section
• e_6_1_stress_oth_3 - E6.3) Respondent's father-in-law was present during this section
• e_6_1_stress_oth_4 - E6.4) Respondent's other hh members were present during this section
• e_6_1_stress_oth_5 - E6.5) Other village residents were present during this section
• empower_index - Empowerment score out of 5
• emp_visit_permission - F1) The last time you went to a relative or acquaintence's house inside the vill
• emp_mkt_permission - F2) The last time you went to the market within your village, did you have to ta
• emp_financially_dep - F3) Do you have to ask someone for money if you want to purchase items from the
• emp_meds_decision - F4) Imagine that you were home alone, without your spouse or guardian and one of
• emp_fin_decision - F5) Suppose you earned Rs 300 as part of a government programme. Who would decid
• emp_bank_unaccomp - D4) If you wished to visit the bank unaccompanied, would you be able to go?
• emp_personal_permission - D5) Suppose you wanted to purchase something for yourself would you need permiss
• emp_doctor - D7) Suppose your child is unwell. Who would make the decision to see a doctor?
• emp_child_decision - D9) Is the decision to have another child is mainly yours, husbands, or both?
• emp_others_yn - F6) Were there other people present during this section?
• emp_others_1 - F6.1) Respondent's husband was present during this section
• emp_others_2 - F6.2) Respondent's mother-in-law was present during this section
• emp_others_3 - F6.3) Respondent's father-in-law was present during this section
• emp_others_4 - F6.4) Respondent's other hh members were present during this section
• emp_others_5 - F6.5) Other village residents were present during this section
• beliefs_score - Number of questions answered correctly on nutritional beliefs (out of 6)
• j1_pregeat - J1) During pregnancy, how much do you think a woman should eat - less than norma
• j2_lacteat - J2) While breastfeeding, how much do you think a woman should eat - less than no
• j3_pregint - J3) During pregnancy, if a woman eats more than normal, do you think it has any
• j4_pregheight - J4) During pregnancy, if a woman eats more than normal, do you think it has any
• j5_childint - J5) If a child eats a nutritious diet, do you think it has any effect on the chi
• j6_childheight - J6) If a child eats a nutritious diet, do you think it has any effect on the chi
• bel_preg_eat - Score: J1
• bel_lact_eat - Score: J2
• bel_preg_eat_affect - Score: J3
• bel_preg_eat_height - Score: J4
• bel_child_affect - Score: J5
• bel_child_height - Score: J6
• g1_sev_yn - Surveyor to fill: Is the Respondent the sevika herself?
• g1_awc_visit - G1) In the past one month, how many times did you visit the anganwadi centre in
• g2_nutri_info - G2) How many times did the sevika speak to you about: Food and nutrition
• g_3_1_preschl - G3.1) Do you use this service at your AWC: Preschool
• g_3_2_hot_ckd_meal - G3.2) Do you use this service at your AWC: Hot cooked meals
• g_3_3_dewrm - G3.3) Do you use this service at your AWC: Deworming for children
• g_3_4_grwth_msure - G3.4) Do you use this service at your AWC: Height and weight measurement for chi
• g_3_5_nutrtn_info - G3.5) Do you use this service at your AWC: Information related to food and nutri
• g_3_6_irn_calc - G3.6) Do you use this service at your AWC: Iron/ Calcium tablets during pregnanc
• g_3_7_vacntn - G3.7) Do you use this service at your AWC: Vaccination shots for pregnant women
• g_3_8_thr - G3.8) Do you use this service at your AWC: Distribution of THR
• g_3_9_govt_schm - G3.9) Do you use this service at your AWC: Registration for government schemes
• g4_sev_visit - G4) Has the sevika visited your home in the last month?
• g5_hcm - G5) Over the last month, have hot cooked meals been regularly available at your
• g6_thr - G6) Over the last month, did you receive four or more packets of THR?
• h6_bank_acc_yesno - H6) Do you have a bank account?
• h6_aadhaar - H6.1) Is your account seeded with Aadhaar?
• h6_passbook - H6.2) Do you have a passbook?
• h6_1_withdrawl_src - H6.1) Where do you usually withdraw money from the bank?
• h6_bank_dist - H6.2) How far is the branch from where you usually withdraw money (in km)?
• h6_bank_dist_neverwith - G2.1) How far is the bank branch/ATM where you could withdraw money from? (one w
• h6_bank_dist_noacc - G2.1) How far is the nearest bank branch/ATM (one way, in km)?
• h7_bank_transport - H7) What is the most frequent mode of transport to go to the nearest bank branch
• h7_bank_transport_noacc - G3) What is the most frequent mode of transport to go to the nearest bank branch
• h8_1_bank_travel_time - H8.1) How much time does it take to go to this bank branch/ATM? (in mins, one wa
• h8_1_bank_travel_time_noacc - G3.2) How much time does it take to go to this bank branch/ATM? (one way, in min
• h8_2_bank_wait_time - H8.1) How much time do you have to wait for transport? (in mins, one way)
• h8_2_bank_wait_time_noacc - G3.4) How long do you wait for transport while going or coming? (Min)
• bank_travel_time_tot - Total time taken to make a round trip to the bank
• h9_bank_cost - H9) How much does it cost to take a round trip to this bank branch/ATM? (Rs)
• h9_bank_cost_noacc - G4) How much does it cost to take a round trip to this bank branch/ATM? (Rs)
• h10_wth_last - H10) When was the last time you tried to withdraw money from your account?
• h11_wth_purp_1 - H11.1) Did you withdraw money for daily household expenditure?
• h11_wth_purp_2 - H11.2) Did you withdraw money for monthly expenses (fees/ rent/ bills)?
• h11_wth_purp_3 - H11.3) Did you withdraw money for farm related expenses?
• h11_wth_purp_4 - H11.4) Did you withdraw money for medical expenses?
• h11_wth_purp_5 - H11.5) Did you withdraw money for a wedding expenses?
• h11_wth_purp_6 - H11.6) Did you withdraw money for a festival?
• h11_wth_purp_7 - H11.7) Did you withdraw money for renovations or house repairs?
• h11_wth_purp_8 - H11.8) Did you withdraw money for clothes?
• h11_wth_purp_9 - H11.9) Did you withdraw money for paying off a loan?
• h11_wth_purp_10 - H11.10) Did you withdraw money for funeral related expenses?
• h11_wth_purp_11 - H11.11) Did you withdraw money for a trip?
• h11_wth_purp_12 - H11.12) Did you withdraw money for buying/ repairing assets?
• h11_wth_purp_0 - H11.0) Did you withdraw money for an unspecified purpose (not spent yet)?
• h12_wth_prob_1 - H12.1) Did you face this problem: Not enough cash at the bank
• h12_wth_prob_2 - H12.2) Did you face this problem: Link failure/ Technical problem
• h12_wth_prob_3 - H12.3) Did you face this problem: Account frozen or closed
• h12_wth_prob_4 - H12.4) Did you face this problem: Officials were rude
• h12_wth_prob_5 - H12.5) Did you face this problem: Bank was crowded
• h12_wth_prob_6 - H12.6) Did you face this problem: Bank was closed
• h12_wth_prob_7 - H12.7) Did you face this problem: Other
• h_1_mrkt_visit_who - H1) Who goes to the market to purchase food?
• h_1_1_who_resp - Surveyor to answer: H1.1) Was this module answered by the member who goes to the
• h2_market_dist - H2) How far is the market from where you usually buy vegetables and groceries? (
• h3_market_transport - H3) What is the frequent mode of transport to go to the market?
• h4_time_to_market - H4) How long does it take to go to this market? (in minutes)
• h4_wait_min - H4) How much time do you have to wait for transport (in mins, one way)?
• h5_market_cost - H5) How much does it cost to go to this market? (Rs)
• i1_market_freq - I1) In the last week, how many times did you buy food items from the market?
• i1_1_market - I1.0) How much was spent on food items in total in the last week?
• i1_1_market_1 - I1.1) How much was spent on food items on this trip to the market?
• i1_1_market_2 - I1.2) How much was spent on food items on this trip to the market?
• i1_1_market_3 - I1.3) How much was spent on food items on this trip to the market?
• i1_1_market_4 - I1.4) How much was spent on food items on this trip to the market?
• i1_1_market_5 - I1.5) How much was spent on food items on this trip to the market?
• i1_1_market_6 - I1.6) How much was spent on food items on this trip to the market?
• i1_1_market_7 - I1.7) How much was spent on food items on this trip to the market?
• i3_fps_freq - I3) In the last month, how many times did you buy food from the FPS?
• i3_1_fps - I3) How much was spent on food items in total at the FPS in the last month?
• i3_1_fps_1 - I3.1) How much was spent on food items on this trip to the FPS?
• i3_1_fps_2 - I3.2) How much was spent on food items on this trip to the FPS?
• i3_1_fps_3 - I3.3) How much was spent on food items on this trip to the FPS?
• expend_food - How much has the household spent in the last 30 days on food?
• i3_expend_sin - I3) How much was spent on sin goods in the last week (sum of alcohol and tobacco
• i4_alcohol - I4) How much was spent on alcohol in the last one week?
• i5_tobacco - I5) How much was spent on tobacco/ cigarettes/ paan in the last one week?
• i6_accuracy - Surveyor Input Was the info given by the respondent accurate or approximate?
• rationcard - J1) What colour is your ration card? Note to surveyor: Please verify the ration
• dwelling - J2) The house where you permanently reside, does your family own it or rent it?
• scst - J3) Are you from a scheduled caste or scheduled tribe?
• religion - J4) Religion of Household
• itms_hh_bed - J5.1) How many do you own of: Beds/cots
• itms_hh_tv - J5.2) How many do you own of: Color TVs
• itms_hh_vehicle2 - J5.3) How many do you own of: 2 wheeler vehicles
• itms_hh_vehicle4 - J5.4) How many do you own of: 4 wheeler vehicles
• itms_hh_chair - J5.5) How many do you own of: Chairs
• itms_hh_bicycle - J5.6) How many do you own of: Bicycles
• itms_hh_mobile - J5.7) How many do you own of: Mobile phones
• itms_hh_cooker - J5.8) How many do you own of: Pressure cookers
• itms_hh_chicken - J5.9) Chickens
• itms_hh_goats - J5.10) Goats
• itms_hh_cows - J5.11) Cows/ bulls/ buffalos
• house_type - J7) What type of dwelling does this household occupy?
• itms_hh_duck - J5.12) Duck
• itms_hh_pigs - J5.13) Pigs
• itms_hh_sheep - J5.14) Sheep
• surveyor_location - J6) What type of location would you describe this as?
• roof_material_1 - J8.1) Is the roof of this house made of: Concrete
• roof_material_2 - J8.2) Is the roof of this house made of: Metal/ tin
• roof_material_3 - J8.3) Is the roof of this house made of: Straw/ thatch/ sod
• roof_material_4 - J8.4) Is the roof of this house made of: Tile
• roof_material_5 - J8.5) Is the roof of this house made of: Pattiyan
• roof_material_6 - J8.6) Is the roof of this house made of: Cloth
• roof_material_7 - J8.7) Is the roof of this house made of: Mud/ khapda
• uid - UID
• awc_code - Anganwadi code
• a0_twin - Does this child have a twin?
• a2_child_sex - A2) child's gender
• a3_child_mob - Month in which child was born
• a3_child_yob - Year in which child was born
• a4_child_months - Child age in months (rounded)
• b0_mother_type - B0) Is this survey being done with the biological mother or the adopted mother?
• b1_mom_height_final - B1) Respondent's final height (in centimetres)
• b1_mom_height_t1 - B1.1) Mother���s height (in centimetres, trial #1)
• b1_mom_height_t2 - B1.1) Mother���s height (in centimetres, trial #2)
• b1_mom_height_t3 - B1.1) Mother���s height (in centimetres, trial #3)
• b2_mom_weight_final - B2) Respondent's final weight (in kilos)
• b2_mom_weight_t1 - B2.1) Mother's weight (in kilos, trial #1)
• b2_mom_weight_t2 - B2.1) Mother's weight (in kilos, trial #2)
• b2_mom_weight_t3 - B2.1) Mother's weight (in kilos, trial #3)
• b3_child_weight_final - B3) child's final weight (in kilos)
• b3_mom_child_weight_t1 - B2.2) Mother's and child's weight (in kilos, trial #1)
• b3_mom_child_weight_t2 - B2.2) Mother's and child's weight (in kilos, trial #2)
• b3_mom_child_weight_t3 - B2.2) Mother's and child's weight (in kilos, trial #3)
• b7_child_height_final - B7) child's final height (in centimetres)
• b7_child_height_t1 - B7.1) child's height (in centimetres, trial #1)
• b7_child_height_t2 - B7.1) child's height (in centimetres, trial #2)
• b7_child_height_t3 - B7.1) child's height (in centimetres, trial #3)
• b9_child_kneespressed - B9) Were child's knees pressed to the mat?
• b10_child_unwell_today_yn - B10) Is child unwell today?
• b11_child_unwell_1 - B11) Did child have a cold/ cough/ fever today?
• b11_child_unwell_2 - B11) Did child have diarrhea/ vomiting/ stomach infection today?
• b11_child_unwell_3 - B11) Did child have malaria/ jaundice/ dengue today?
• b11_child_unwell_4 - B11) Did child have measles/ chickenpox today?
• b11_child_unwell_5 - B11) Did child have pneumonia today?
• b11_child_unwell_6 - B11) Did child have physical injuries/ fracture today?
• b11_child_unwell_7 - B11) Did child have a serious illness today?
• b12_preg_yn - Are you currently pregnant?
• b13_preg_trimester - Which trimester are you currently in?
• b14_heavydress_yn - Did the respondent wear heavy materials during measurement?
• b15_heavydress_1 - Was the respondent wearing a jacket while her weight was being measured?
• b15_heavydress_2 - Was the respondent wearing a sweater while her weight was being measured?
• b15_heavydress_3 - Was the respondent wearing a shawl while her weight was being measured?
• b15_heavydress_4 - Was the respondent wearing a quilt while her weight was being measured?
• b15_heavydress_5 - Was the respondent wearing a heavy sari while her weight was being measured?
• b15_heavydress_6 - Was the respondent wearing heavy jewellery while her weight was being measured?
• b16_flatsurface - Was a flat surface available for the weighing scale during measurement?
• b17_older_siblings - B12) How many older siblings does the child have?
• b18_younger_siblings - B13) How many younger siblings does the child have?
• child_haz - child's height-for-age Z score
• child_waz - child's weight-for-age Z score
• child_whz - child's weight-for-height Z score
• child_bmiz - child's BMI-for-age Z score
• uid - UID
• awc_code - Anganwadi code
• a2_twin - Does this child have a twin?
• a4_child_sex - child's gender
• a5_child_mob - Month in which child was born
• a5_child_yob - Year in which child was born
• a6_child_months - Child age in months (rounded)
• a6_hh_mem_adult - How many adult members does this household have?
• a7_hh_mem_child - How many children does this household have?
• b1_child_unwell_yn - Was child unwell in the last 3 months?
• b2_child_illness_1 - Did child have a cold/ cough/ fever over the last 3 months?
• b2_child_illness_2 - Did child have diarrea/ vomiting/ stomach infection in the last 3 months?
• b2_child_illness_3 - Did child have malaria/ jaundice/ dengue over the last 3 months?
• b2_child_illness_4 - Did child have measles/ chickenpox over the last 3 months?
• b2_child_illness_5 - Did child have pneumonia over the last 3 months?
• b2_child_illness_6 - Did child have physical injuries/ fractures over the last 3 months?
• b2_child_illness_7 - Did child have skin infections over the last 3 months?
• b2_child_illness_8 - Did child have sarfata over the last 3 months?
• b3_1_child_govt - Number of times sick child shown to: Government doctor/ Government hospital/ PHC
• b3_2_child_private - Number of times sick child shown to: Private doctor/ Private hospital/ Private c
• b3_3_child_anm - Number of times sick child shown to: ANM/ Sub-centre
• b3_4_child_asha - Number of times sick child shown to: ASHA worker
• b3_5_child_chemist - Number of times sick child shown to: Jholawala/ Bengali doctor/ Chemist/ Homeopa
• b3_6_child_healer - Number of times sick child shown to: Village healer/ Witch-doctor
• b3_7_child_selfmed - Number of times sick child shown to: Self-medication
• b3_8_child_homerem - Number of times sick child shown to: Home remedies
• b3_9_child_other - Number of times sick child shown to: other
• b4_child_illess_days - For how many days was child unwell in the last 1 month?
• b5_resp_unwell_yn - Have you been unwell in the last 3 months?
• b6_resp_illness_1 - Did you have a cold/ cough/ fever over the last 3 months?
• b6_resp_illness_2 - Did you have diarrhea/ vomiting/ stomach infections over the last 3 months?
• b6_resp_illness_3 - Did you have malaria/ jaundice/ dengue over the last 3 months?
• b6_resp_illness_4 - Did you have measles/ chickenpox over the last 3 months?
• b6_resp_illness_5 - Did you have a headache over the last 3 months?
• b6_resp_illness_6 - Did you have physical injuries/ fractures over the last 3 months?
• b6_resp_illness_7 - Did you have skin infections over the last 3 months?
• b6_resp_illness_8 - Did you have menstrual complications over the last 3 months?
• b6_resp_illness_9 - Did you have bodyache over the last 3 months?
• b6_resp_illness_10 - Did you have any serious illness over the last 3 months?
• b7_1_govt - Number of visits when you were unwell: Government doctor/ Government hospital/ P
• b7_2_private - Number of visits when you were unwell: Private doctor/ Private hospital/ Private
• b7_3_anm - Number of visits when you were unwell: ANM/ Sub-centre
• b3_4_asha - Number of visits when you were unwell: ASHA worker
• b7_5_chemist - Number of visits when you were unwell: Jholawala/ Bengali doctor/ Chemist/ Homeo
• b7_6_healer - Number of visits when you were unwell: Village healer/ Witch-doctor
• b7_7_selfmed - Number of visits when you were unwell: Self-medication
• b7_8_homerem - Number of visits when you were unwell: Home remedies
• b7_9_other - Number of visits when you were unwell: Other, please specify
• b8_resp_illness_days - For how many days were you unwell in the last 1 month?
• resp_ddi - Respondent's Dietary Diversity Score
• resp_cereal - Did the respondent eat cereal today?
• resp_tuber - Did the respondent eat white roots or tubers today?
• resp_vitaveg - Did the respondent eat yellow or orange vegetables today?
• resp_dglveg - Did the respondent eat dark green leafy vegetables today?
• resp_othveg - Did the respondent eat any other vegetables today?
• resp_vitafruit - Did the respondent eat yellow or orange fruits today?
• resp_fruit - Did the respondent eat any other fruits today?
• resp_omeat - Did the respondent eat organ meat today?
• resp_fmeat - Did the respondent eat flesh meat today?
• resp_eggs - Did the respondent eat eggs today?
• resp_sfood - Did the respondent eat seafood today?
• resp_legume - Did the respondent eat legumes or nuts today?
• resp_sweets - Did the respondent eat sweets today?
• resp_spices - Did the respondent eat spices, condiments or beverages today?
• resp_dairy - Did the respondent eat dairy today?
• resp_fats - Did the respondent eat fats or oils today?
• c1_resp_cereal1 - Did you eat roti yesterday?
• c2_resp_cereal2 - Did you eat rice yesterday?
• c3_resp_cereal3 - Did you eat rice-based products yesterday?
• c4_resp_cereal4 - Did you eat bread or biscuits yesterday?
• c4_resp_cereal5 - Did you eat chowmein, maggi, or noodles yesterday?
• c5_resp_cereal5 - Did you eat any other grains yesterday?
• c6_resp_legume1 - Did you eat dal yesterday?
• c6_resp_legume2 - Did you eat sattoo yesterday?
• c7_resp_legume2 - Did you eat soyabean dal or soyabean chunks yesterday?
• c8_resp_legume3 - Did you eat nuts yesterday?
• c9_resp_tuber1 - Did you eat potatoes or sweet potatoes yesterday?
• c10_resp_tuber2 - Did you eat breadfruit, yam, lotus root, turnip, water chestnut, or green banana
• c11_resp_fruit1 - Did you eat jackfruit or papaya sabzi yesterday?
• c11_resp_dglveg1 - Did you eat any green leafy vegetables yesterday?
• c12_resp_othveg1 - Did you eat any food that contained onion or tomato yesterday?
• c14_resp_orange1 - Did you eat any orange vegetables yesterday?
• c13_resp_othveg2 - Did you eat any other type of vegetable yesterday?
• c15_resp_orange2 - Did you eat any orange fruits yesterday?
• c16_resp_fruit1 - Did you eat any other fruits yesterday?
• c17_resp_eggs1 - Did you eat any eggs yesterday?
• c18_resp_fmeat1 - Did you eat any non-veg yesterday?
• c19_resp_omeat1 - Did you eat kidney or liver yesterday?
• c20_resp_sfood1 - Did you eat any seafood yesterday?
• c21_resp_fats1 - Did you eat any oil, ghee, or butter yesterday?
• c22_resp_spices1 - Did you eat any chilli or spices yesterday?
• c22_resp_spices4 - Did you eat any pickle or chutney yesterday?
• c23_resp_spices2 - Did you drink any tea or coffee yesterday?
• c24_resp_spices3 - Did you drink any cola, sherbet, or juice yesterday?
• c24_resp_spices4 - Did you drink any Horlics or protein powder yesterday?
• c25_resp_sweets1 - Did you eat kheer, halwa, laddo, or mithai yesterday?
• c26_resp_sweets2 - Did you eat cake, chocolate, or ice cream yesterday?
• c27_resp_milk1 - Did you consume any milk or milk products yesterday?
• c28_resp_milk2 - Did you drink any lassi or chhas yesterday?
• c28_resp_junk1 - Did you eat any chips or kurkure yesterday?
• c29_resp_other - Did you consume any other food item yesterday?
• c30_resp_alc - Did you drink any alcohol yesterday?
• child_ddi - child's Dietary Diversity Score
• child_cereal - Did child eat cereal today?
• child_tuber - Did child eat white roots or tubers today?
• child_vitaveg - Did child eat yellow or orange vegetables today?
• child_dglveg - Did child eat dark green leafy vegetables today?
• child_othveg - Did child eat any other vegetables today?
• child_vitafruit - Did child eat yellow or orange fruits today?
• child_fruit - Did child eat any other fruits today?
• child_omeat - Did child eat organ meat today?
• child_fmeat - Did child eat flesh meat today?
• child_eggs - Did child eat eggs today?
• child_sfood - Did child eat seafood today?
• child_legume - Did child eat legumes or nuts today?
• child_sweets - Did child eat sweets today?
• child_spices - Did child eat spices, condiments or beverages today?
• child_dairy - Did child eat dairy today?
• child_fats - Did child eat fats or oils today?
• c1_child_cereal1 - Did child eat roti yesterday?
• c2_child_cereal2 - Did child eat rice yesterday?
• c3_child_cereal3 - Did child eat rice-based products yesterday?
• c4_child_cereal4 - Did child eat bread or biscuits yesterday?
• c4_child_cereal5 - Did child eat chowmein, maggi, or noodles yesterday?
• c5_child_cereal5 - Did child eat any other grains yesterday?
• c6_child_legume1 - Did child eat dal yesterday?
• c6_child_legume2 - Did child eat satto yesterday?
• c7_child_legume2 - Did child eat soyabean dal or soyabean chunks yesterday?
• c8_child_legume3 - Did child eat nuts yesterday?
• c9_child_tuber1 - Did child eat potatoes or sweet potatoes yesterday?
• c10_child_tuber2 - Did child eat breadfruit, yam, lotus root, turnip, water chestnut, or green bana
• c11_child_fruit1 - Did child eat jackfruit or papaya sabzi yesterday?
• c11_child_dglveg1 - Did child eat any green leafy vegetables yesterday?
• c12_child_othveg1 - Did child eat any food that contained onion or tomato yesterday?
• c14_child_orange1 - Did child eat any orange vegetables yesterday?
• c13_child_othveg2 - Did child eat any other type of vegetable yesterday?
• c15_child_orange2 - Did child eat any orange fruits yesterday?
• c16_child_fruit1 - Did child eat any other fruits yesterday?
• c17_child_eggs1 - Did child eat any eggs yesterday?
• c18_child_fmeat1 - Did child eat any non-veg yesterday?
• c19_child_omeat1 - Did child eat kidney or liver yesterday?
• c20_child_sfood1 - Did child eat any seafood yesterday?
• c21_child_fats1 - Did child eat any oil, ghee, or butter yesterday?
• c22_child_spices1 - Did child eat any chilli or spices yesterday?
• c22_child_spices4 - Did your child eat any pickle or chutney yesterday?
• c23_child_spices2 - Did child drink any tea or coffee yesterday?
• c24_child_spices3 - Did child drink any cola, sherbet, or juice yesterday?
• c24_child_spices4 - Did child drink any Horlics or protein powder yesterday?
• c25_child_sweets1 - Did child eat kheer, halwa, laddo, or mithai yesterday?
• c26_child_sweets2 - Did child eat cake, chocolate, or ice cream yesterday?
• c27_child_milk1 - Did child consume any milk or milk products yesterday?
• c28_child_milk2 - Did child drink any lassi or chhas yesterday?
• c28_child_junk1 - Did child eat any chips or kurkure yesterday?
• c29_child_other - Did child consume any other food item yesterday?
• c30_child_mealfreq - How many times yesterday did child eat solid, semi-solid, or soft food? (Excludi
• c31_child_breastfeeding_freq - How many times did you breastfeed your child in the last 24 hours?
• e1_firstchild_yn - Is this your first child?
• e2_pmmvy_yn - Did the sevika register you for PMMVY through which you get Rs. 5,000 for your f
• e3_transfer_yn - Have you received any transfers through this scheme?
• e4_amount - How much money have you received?
• e5_withdraw_yn - Did you withdraw this money?
• f1_pregeat - Do you think pregnant women should eat less, more, or the same as normal?
• f2_lacteat - Do you think breastfeeding women should eat less, more, or the same as normal?
• g1_pink_yn - Did you receive any pink THR packets with a picture of a pregnant woman from the
• g2_pink_want - Did you want to receive any pink packets in May?
• g3_pink_num - How many pink packets did you receive in May?
• g4_pink_pickup - When did you pick up these pink packets from the anganwadi?
• g4_pink_pickup_unit - When did you pick up these pink packets from the anganwadi? (unit)
• g1_green_yn - Did you receive any green THR packets with a picture of a mother feeding her chi
• g2_green_want - Did you want to receive any green packets in May?
• g3_green_num - How many green packets did you receive in May?
• g4_green_pickup - When did you pick up these green packets from the anganwadi?
• g4_green_pickup_unit - When did you pick up these green packets from the anganwadi? (unit)
• g1_orange_yn - Did you receive any orange THR packets with a picture of a child from the sevika
• g2_orange_want - Did you want to receive any orange packets in May?
• g3_orange_num - How many orange packets did you receive in May?
• g4_orange_pickup - When did you pick up these orange packets from the anganwadi?
• g4_orange_pickup_unit - When did you pick up these orange packets from the anganwadi? (unit)
• g5_pink_apr_yn - Did you receive any pink THR packets with a picture of a pregnant woman from the
• g5_green_apr_yn - Did you receive any green THR packets with a picture of a mother feeding her chi
• g5_orange_apr_yn - Did you receive any orange THR packets with a picture of a child from the sevika
• g6_pink_mar_yn - Did you receive any pink THR packets with a picture of a pregnant woman from the
• g6_green_mar_yn - Did you receive any green THR packets with a picture of a mother feeding her chi
• g6_orange_mar_yn - Did you receive any orange THR packets with a picture of a child from the sevika
• h1_account_yn - Do you have a single bank account in your name?
• h2_withdrawn_0 - Has no one ever withdrawn money from this bank account?
• h2_withdrawn_1 - Have you ever withdrawn money from this bank account?
• h2_withdrawn_2 - Has your husband ever withdrawn money from this bank account?
• h2_withdrawn_3 - Have any other family members ever withdrawn money from this bank account?
• h3_withdraw_freq - How many times in the last 3 months have you withdrawn money from this account?
• h4_withdraw_amount - How much money have you withdrawn from this account in the last 3 months?
• d1_marketer - Who usually goes to the market to shop for food items?
• d2_marketer_resp - Is the person who usually goes to the market going to answer this section?
• d3_market_freq - How many days in the last week did you or someone from your household go to the
• d3_market_spend - How much was spent on food items from the market in the last week?
• d5_fps_freq - How many times in the last month did you or someone from your household go to th
• d4_fps_spend - How much money was spent on food items in this visit?
• d5_alcohol_spend - How much was spent on alcohol in the last week?
• d6_tobacco_spend - How much was spent on tobacco in the last week?
• d7_supplies_spend - How much money was spent on household supplies and personal items in the last 30
• d8_edu_spend - How much money was spent on educational expenses in the last 30 days?
• d9_med_spend - How much money was spent on medical expenses in the last 30 days?
• d10_fuel_spend - How much money was spent on fuel or electricity in the last 30 days?
• d11_rent_spend - How much money was spent on house, land, or shop rent in the last 30 days?
• d12_farm_spend - How much money was spent on farm or business inputs in the last 30 days?
• d13_repair_spend - How much money was spent on repairs or maintenance of the house or business plac
• d14_assets_spend - How much money was spent on household assets in the last 30 days?
• d15_festivals_spend - How much money was sent on festivals, weddings, pujas, last rites etc in the las
• d16_travel_spend - How much money was spent on travelling in the last 30 days?
• d17_other_spend - Did you spend money on anything else in the last 30 days?
• d17_spend_oth - Did you spend money on anything else in the last 30 days?
• awc_code - Anganwadi code
• uid - Unique ID
• a2_infant_sex - Gender
• a0_twin - Does the child mentioned in the tracking have a twin brother/sister who is alive
• a4_twin_gender - Twin gender
• a6_hh_mem_adult - How many adult members does this household have?
• a7_hh_mem_child - How many children does this household have?
• c1_resp_cereal_1 - Did you eat any rice yesterday?
• c1_resp_cereal_2 - Did you eat any roti yesterday?
• c1_resp_cereal_3 - Did you eat any other grains yesterday?
• c1_resp_cereal_4 - Did you eat any bread or biscuits yesterday?
• c1_resp_cereal_5 - Did you eat any rice-based products yesterday?
• c1_resp_cereal_6 - Did you eat any chowmein, maggi, or noodles yesterday?
• c1_resp_cereal_99 - Did you eat nothing out of these cereals yesterday?
• c1_rice_utensil - Which utensil do you use to serve rice?
• c1_resp_qty_rice - How many utensils of rice did you have?
• c2_resp_qty_roti - How many rotis did you eat?
• c1_resp_legume_1 - Did you eat any dal yesterday?
• c1_resp_legume_2 - Did you eat any nuts yesterday?
• c1_resp_legume_3 - Did you eat any soyabean yesterday?
• c1_resp_legume_4 - Did you eat any satoo yesterday?
• c1_resp_legume_99 - Did you eat nothing out of these legumes yesterday?
• c1_resp_tuber_1 - Did you eat any potato yesterday?
• c1_resp_tuber_2 - Did you eat any breadruit, yam, lotus root, turnip, water chesnut, or green bana
• c1_resp_tuber_99 - Did you eat nothing out of these tubers yesterday?
• c1_resp_othveg_1 - Did you eat any food that contained onion or tomato?
• c1_resp_othveg_2 - Did you eat any other type of vegetable yesterday?
• c1_resp_othveg_99 - Did you eat nothing out of these other vegetables yesterday?
• c1_resp_fruit_1 - Did you eat papaya/jackfruit sabzi yesterday?
• c1_resp_fruit_2 - Did you eat any other fruits yesterday?
• c1_resp_fruit_99 - Did you eat nothing out of these fruits yesterday?
• c1_resp_dglveg - Did you eat any green leafy vegetables yesterday?
• c1_resp_orange_1 - Did you eat any orange vegetables yesterday?
• c1_resp_orange_2 - Did you eat any orange fruits yesterday?
• c1_resp_orange_99 - Did you eat nothing out of these orange/fruits vegetables yesterday?
• nveg_screener_resp - Did you or your child have any non-veg yesterday?
• c1_resp_nveg_1 - Did you eat any eggs yesterday?
• c1_resp_nveg_2 - Did you eat any meat (mutton, pork, beef, snail) yesterday?
• c1_resp_nveg_3 - Did you eat any poultry yesterday?
• c1_resp_nveg_4 - Did you eat any organ meat yesterday?
• c1_resp_nveg_5 - Did you eat any seafood yesterday?
• c1_resp_fats - Did you eat any oil, ghee, or butter yesterday?
• c1_resp_spices_1 - Did you eat any chilli or spices yesterday?
• c1_resp_spices_2 - Did you eat any pickle/chutney yesterday?
• c1_resp_spices_3 - Did you eat any tea/coffee yesterday?
• c1_resp_spices_4 - Did you eat any cold drinks yesterday?
• c1_resp_spices_5 - Did you eat any Horlicks/Protein powder yesterday?
• c1_resp_spices_99 - Did you eat nothing out of these spices yesterday?
• c1_resp_sweets_1 - Did you eat any kheer, halwa, ladoo, or mithai yesterday?
• c1_resp_sweets_2 - Did you eat any cake, chocolate, or ice cream yesterday?
• c1_resp_sweets_99 - Did you eat nothing out of these sweets yesterday?
• c1_resp_milk_1 - Did you eat any milk yesterday?
• c1_resp_milk_2 - Did you eat any milk products yesterday?
• c1_resp_milk_3 - Did you eat any lassi, chaach, or mattha yesterday?
• c1_resp_milk_99 - Did you eat nothing out of these milk products yesterday?
• c1_resp_junk - Did you eat any chips or kurkure yesterday?
• c29_resp_other - Did you consume any other food item yesterday?
• c29_resp_oth - Specify other food item.
• g1_sev_yn - Is the respondent the sevika/sahayika herself?
• g1_awc_visit - F1) In the past one month, how many days did you visit the anganwadi centre in y
• g2_nutri_info - F2) In the past one month, how many days did the village sevika speak to you abo
• g4_sev_visit - F3) Has the sevika visited your home in the last month?
• g6_thr - F5) Over the last month, how many packets of THR did you receive?
• g7_dryration - F5) Over the last month, did you receive dry ration for your child (in lieu of h
• g_3_3_dewrm - F7.3) Now I will read out a list of services, please let me know if you use thes
• g_3_4_grwth_msure - F7.4) Now I will read out a list of services, please let me know if you use thes
• g_3_5_nutrtn_info - F7.5) Now I will read out a list of services, please let me know if you use thes
• g_3_6_irn_calc - F7.6) Now I will read out a list of services, please let me know if you use thes
• g_3_7_vacntn - F7.7) Now I will read out a list of services, please let me know if you use thes
• g_3_8_thr - F7.8) Now I will read out a list of services, please let me know if you use thes
• g_3_9_govt_schm - F7.9) Now I will read out a list of services, please let me know if you use thes
• d3_market_freq_r1 - How many days in the last week did you or someone from your household go to the
• d4_market_spend_1_r1 - How much money was spent on food items in visit #1 (Round 1)?
• d4_market_spend_2_r1 - How much money was spent on food items in visit #2 (Round 1)?
• d4_market_spend_3_r1 - How much money was spent on food items in visit #3 (Round 1)?
• d4_market_spend_4_r1 - How much money was spent on food items in visit #4 (Round 1)?
• d4_market_spend_5_r1 - How much money was spent on food items in visit #5 (Round 1)?
• d4_market_spend_6_r1 - How much money was spent on food items in visit #6 (Round 1)?
• d4_market_spend_7_r1 - How much money was spent on food items in visit #7 (Round 1)?
• d5_fps_freq_r1 - How many times in the last month did you or someone from your household go to th
• d6_fps_spend_1_r1 - How much money was spent on food items in visit #1 (Round 1)?
• d6_fps_spend_2_r1 - How much money was spent on food items in visit #2 (Round 1)?
• d6_fps_spend_3_r1 - How much money was spent on food items in visit #3 (Round 1)?
• resp_index_meat_foodgroup - DQI-I Meat Respondent Foodgroup
• resp_index_dairy_foodgroup - DQI-I Dairy Respondent Foodgroup
• resp_index_grains_foodgroup - DQI-I Grains Respondent Foodgroup
• resp_index_fruits_foodgroup - DQI-I Fruit Respondent Foodgroup
• resp_index_veg_foodgroup - DQI-I Veg Respondent Foodgroup
• resp_variety_foodgroup - Respondent Variety, food group (0-15)
• resp_index_meat_protein - Flesh Meat, protein variety
• resp_index_poultry_protein - Poultry, protein variety
• resp_index_fish_protein - Seafood, protein variety
• resp_index_dairy_protein - Dairy, protein variety
• resp_index_beans_protein - Beans, protein variety
• resp_index_egg_protein - Egg, protein variety
• resp_proteinscore - Protein score to calc variety score
• resp_variety_protein - Respondent Variety, protein (0-5)
• dqii_resp - DQI-I of respondent (0-20)
• dd_index_resp_1 - Grains, roots and tubers
• dd_index_resp_2 - Legumes and nuts
• dd_index_resp_3 - Dairy products (milk, yogurt, cheese)
• dd_index_resp_4 - Flesh foods (meat, fish, poultry and liver/organ meats)
• dd_index_resp_5 - Eggs
• dd_index_resp_6 - Vitamin-A rich fruits and vegetables
• dd_index_resp_7 - Other fruits and vegetables
• dd_index_resp_score - Dietary Diversity Score (Resp- 0 to 7)
• resp_index_meat_binary - Meat Respondent binary
• resp_index_dairy_binary - Dairy Respondent binary
• resp_index_grains_binary - Grains Respondent binary
• resp_index_fruits_binary - Fruit Respondent binary
• resp_index_veg_binary - Veg Respondent binary
• nveg_resp_egg - Egg
• nveg_resp_fmeat - Flesh Meat
• nveg_resp_omeat - Organ Meat
• nveg_resp_sfood - Seafood
• monthly_food_expend_r1 - Monthly total expenditure on food
• total_hh_mem - Total HH Members
• c1_child_cereal_1 - Did your child eat any rice yesterday?
• c1_child_cereal_2 - Did your child eat any roti yesterday?
• c1_child_cereal_3 - Did your child eat any other grains yesterday?
• c1_child_cereal_4 - Did your child eat any bread or biscuits yesterday?
• c1_child_cereal_5 - Did your child eat any rice-based products yesterday?
• c1_child_cereal_6 - Did your child eat any chowmein, maggi, or noodles yesterday?
• c1_child_cereal_99 - Did your child eat nothing out of these cereals yesterday?
• c1_child_qty_rice - How many utensils of rice did your child eat yesterday?
• c2_child_qty_roti - How many rotis did your child eat yesterday?
• c1_child_legume_1 - Did your child eat any dal yesterday?
• c1_child_legume_2 - Did your child eat any nuts yesterday?
• c1_child_legume_3 - Did your child eat any soyabean yesterday?
• c1_child_legume_4 - Did your child eat any satoo yesterday?
• c1_child_legume_99 - Did your child eat nothing out of these legumes yesterday?
• c1_child_tuber_1 - Did your child eat any potato yesterday?
• c1_child_tuber_2 - Did your child eat any breadfruit, yam, lotus root, turnip, water chesnut, or gr
• c1_child_tuber_99 - Did your child eat nothing out of these tubers yesterday?
• c1_child_othveg_1 - Did your child eat any food that contained onion or tomato yesterday?
• c1_child_othveg_2 - Did your child eat any other type of vegetable yesterday?
• c1_child_othveg_99 - Did your child eat nothing out of these other vegetables yesterday?
• c1_child_fruit_1 - Did your child eat any papaya/jackfruit sabzi yesterday?
• c1_child_fruit_2 - Did your child eat any other fruits yesterday?
• c1_child_fruit_99 - Did your child eat nothing out of these fruits yesterday?
• c1_child_dglveg - Did your child eat any green leafy vegetables yesterday?
• c1_child_orange_1 - Did your child eat any orange vegetables yesterday?
• c1_child_orange_2 - Did your child eat any orange fruits yesterday?
• c1_child_orange_99 - Did your child eat nothing out of these orange fruits and vegetables yesterday?
• nveg_screener - Did you or your child have any non-veg yesterday?
• c1_child_nveg_1 - Did your child eat any eggs yesterday?
• c1_child_nveg_2 - Did your child eat any meat (mutton, pork, beef, snail) yesterday?
• c1_child_nveg_3 - Did your child eat any poultry yesterday?
• c1_child_nveg_4 - Did your child eat any organ meat yesterday?
• c1_child_nveg_5 - Did your child eat any seafood yesterday?
• c1_child_fats - Did your child eat any ghee, oil, or butter yesterday?
• c1_child_spices_1 - Did your child eat any chilli or spices yesterday?
• c1_child_spices_2 - Did your child eat any pickle/chutney yesterday?
• c1_child_spices_3 - Did your child eat any tea/coffee yesterday?
• c1_child_spices_4 - Did your child eat any cold drinks yesterday?
• c1_child_spices_5 - Did your child eat any Horlicks/protein powder yesterday?
• c1_child_spices_99 - Did your child eat nothing out of these spices yesterday?
• c1_child_sweets_1 - Did your child eat any kheer, halwa, ladoo, or mithai yesterday?
• c1_child_sweets_2 - Did your child eat any cake, chocolate, or ice cream yesterday?
• c1_child_sweets_99 - Did your child eat nothing out of these sweets yesterday?
• c1_child_milk_1 - Did your child eat any milk yesterday?
• c1_child_milk_2 - Did your child eat any milk products yesterday?
• c1_child_milk_3 - Did your child eat any lassi, chaach, or mattha yesterday?
• c1_child_milk_99 - Did your child eat nothing out of these milk products yesterday?
• c1_child_junk - Did your child eat any chips or kurkure yesterday?
• c29_child_other - Did your child consume any other food item yesterday?
• c29_child_oth - Please specify other food item.
• c30_child_mealfreq - How many times yesterday did your child eat any solid, semi-solid, or soft food?
• child_bm_yn - Did you breastfeed your child yesterday?
• d1_run - D1) Does your child run, stopping herself and without bumping into things or fal
• d2_furn - D2) Does your child climb on furniture?
• d3_clothes - D3) Can your child remove clothes on her own without your help?
• d4_point - D4) When your child wants something does she tell you by pointing to it?
• d5_anotheroom - D5) When you ask your child to, does she go into another room and find familiar
• d6_words - D6) Does your child say words other than 'Mama' and 'Papa?' For example words ma
• d7_sentences - D7) Does your child say two word sentences? Such as 'Khaana do' or 'Mama paani d
• d8_scribble - D8) Does your child scribble?
• d9_eat - D9) Has your child started eating food on her own?
• mddmgrains - Minimum dietary diversity: Did the respondent consume grains yesterday?
• mddmlegumesnuts - Minimum dietary diversity: Did the respondent consume legumes or nuts yesterday?
• mddmdairy - Minimum dietary diversity: Did the respondent consume dairy yesterday?
• mddmfleshfood - Minimum dietary diversity: Did the respondent consume flesh foods yesterday?
• mddmeggs - Minimum dietary diversity: Did the respondent consume eggs yesterday?
• mddmvitamina - Minimum dietary diversity: Did the respondent consume fruits or veg rich in vita
• mddmotherfruitveg - Minimum dietary diversity: Did the respondent consume other fruits or veg yester
• dd_index_child_score - Child's dietary diversity index
• mmf_child - Minimum meal frequency
• child_index_meat_binary - Meat Child binary
• child_index_dairy_binary - Dairy Child binary
• child_index_grains_binary - Grains Child binary
• child_index_fruits_binary - Fruit Child binary
• child_index_veg_binary - Veg Child binary
• nveg_child_egg - Egg
• nveg_child_fmeat - Flesh Meat
• nveg_child_omeat - Organ Meat
• nveg_child_sfood - Seafood
• min_dd_child - Minimum Dietary Diversity Score
• child_run_cogscore - Activity score
• child_furn_cogscore - Activity score
• child_clothes_cogscore - Activity score
• child_point_cogscore - Activity score
• child_anotherroom_cogscore - Activity score
• child_words_cogscore - Activity score
• child_sent_cogscore - Activity score
• child_scrib_cogscore - Activity score
• child_eat_cogscore - Activity score
• child_cognition_score - Child cognition score
• child_milk_utensil - Which utensil do you use to feed milk?
• h6_bank_acc_yesno - D1) Do you have a bank account?
• h10_wth_last - D2) When was the last time you tried to withdraw money from your account?
• h14_deposit - D3) When was the last time you deposited money in your account?
• h15_flp - D4) As you know, some women take up jobs for which they are paid in cash or kind
• f_1_rel_permssn - D1) The last time you went to a relative or acquaintence's house inside the vill
• f_2_mrkt_permssn - D2) The last time you went to the market within your village, did you have to ta
• f_3_resp_fin_dep - D3) Do you have to ask someone for money if you want to purchase items from the
• f_4_meds_decisn - D4) Imagine that you were home alone, without your spouse or guardian and one of
• d3_market_freq_r2 - How many days in the last week did you or someone from your household go to the
• d4_market_spend_1_r2 - How much money was spent on food items in visit #1 (Round 2)?
• d4_market_spend_2_r2 - How much money was spent on food items in visit #2 (Round 2)?
• d4_market_spend_3_r2 - How much money was spent on food items in visit #3 (Round 2)?
• d4_market_spend_4_r2 - How much money was spent on food items in visit #4 (Round 2)?
• d4_market_spend_5_r2 - How much money was spent on food items in visit #5 (Round 2)?
• d4_market_spend_6_r2 - How much money was spent on food items in visit #6 (Round 2)?
• d4_market_spend_7_r2 - How much money was spent on food items in visit #7 (Round 2)?
• d4_market_source_1_r2 - Of the items that you consumed in the last week, did you get them from?: local m
• d4_market_source_2_r2 - Of the items that you consumed in the last week, did you get them from?: purchas
• d4_market_source_3_r2 - Of the items that you consumed in the last week, did you get them from?: own far
• d4_market_source_4_r2 - Of the items that you consumed in the last week, did you get them from?: purchas
• d4_market_source_5_r2 - Of the items that you consumed in the last week, did you get them from?: purchas
• d4_market_source_6_r2 - Of the items that you consumed in the last week, did you get them from?: from ow
• d4_market_source__87_r2 - Of the items that you consumed in the last week, did you get them from?: Other
• d4_market_source__88_r2 - Of the items that you consumed in the last week, did you get them from?: Did not
• d4_market_source__89_r2 - Of the items that you consumed in the last week, did you get them from?: Did not
• d5_fps_freq_r2 - How many times in the last month did you or someone from your household go to th
• d6_fps_spend_1_r2 - How much money was spent on food items in this visit (Round 2)?
• d6_fps_spend_2_r2 - How much money was spent on food items in this visit (Round 2)?
• d6_fps_spend_3_r2 - How much money was spent on food items in this visit (Round 2)?
• d6_fps_spend_4_r2 - How much money was spent on food items in this visit (Round 2)?
• d7_supplies_spend - How much money was spent on household supplies and personal items in the last 30
• d8_edu_spend - How much money was spent on educational expenses in the last 30 days?
• d9_med_spend - How much money was spent on medical expenses in the last 30 days?
• d10_fuel_spend - How much money was spent on fuel or electricity in the last 30 label variable da
• d11_rent_spend - How much money was spent on house, land, or shop rent in the last 30 days?
• d12_farm_spend - How much money was spent on farm or business inputs in the last 30 days?
• d13_repair_spend - How much money was spent on repairs or maintenance of the house or business plac
• d14_assets_spend - How much money was spent on household assets in the last 30 days?
• d15_festivals_spend - How much money was sent on festivals, weddings, pujas, last rites etc in the las
• d16_travel_spend - How much money was spent on travelling in the last 30 days?
• d17_mobile_recharge - How much money was spent on mobile/DTH recharge?
• d18_debt_spend - How much money was spent on debt?
• d19_other_spend - Did you spend money on anything else in the last 30 days?
• d17_spend_oth - Please specify what you spent money on.
• withdraw_ever_binary - Has respondent ever withdrawn money?
• deposit_ever_binary - Has respondent ever deposited money?
• empower_index - Employment Index
• weekly_mkt_expend - Weekly total market expenditure
• monthly_mkt_expend - Monthly total market expenditure
• monthly_fps_expend - Monthly total FPS expenditure
• monthly_food_expend_r2 - Monthly total food expenditure (Round 2)
• child_egg - Did your child eat eggs yesterday?
• child_egg_qty - How many eggs did your child consume?
• child_milk - Did your child consume milk yesterday?
• child_milk_qty - How much milk did your child consume?
• child_dal - Did your child consume dal yesterday?
• child_dal_qty - How much dal did your child consume?
• c1_child_unwell - B1) Was your child unwell in the last 3 months?
• c2_chld_disease2 - B2) What types of illnesses did your child have over the last 3 months?: Diarrhe
• c2_chld_disease1 - B2) What types of illnesses did your child have over the last 3 months?: Cold/Co
• c2_chld_disease3 - B2) What types of illnesses did your child have over the last 3 months?: Malaria
• c2_chld_disease4 - B2) What types of illnesses did your child have over the last 3 months?: Measles
• c2_chld_disease5 - B2) What types of illnesses did your child have over the last 3 months?: Pneumon
• c2_chld_disease6 - B2) What types of illnesses did your child have over the last 3 months?: Physica
• c2_chld_disease7 - B2) What types of illnesses did your child have over the last 3 months?: Skin in
• c2_chld_disease8 - B2) What types of illnesses did your child have over the last 3 months?: Sarfata
• c2_chld_disease9 - B2) What types of illnesses did your child have over the last 3 months?: Critica
• c2_chld_disease10 - B2) What types of illnesses did your child have over the last 3 months?: Typhoid
• c2_chld_disease_87 - B2) What types of illnesses did your child have over the last 3 months?: Other
• c2_chld_disease_88 - B2) What types of illnesses did your child have over the last 3 months?: Did not
• c2_chld_disease_89 - B2) What types of illnesses did your child have over the last 3 months?: Did not
• c3_1_child_doc_gov - B3.1) Government Doctor/Hospital/Clinic/PHC
• c3_2_child_doc_pvt - B3.2) Private Doctor/Hospital/Clinic
• c3_3_child_anm - B3.3) ANM/Sub-centre
• b4_child_illess_days - For how many days was your child unwell in the last 1 month?
• unwell_doctor_child - Did child see formal care provider?
• number_illness_child - Number of illnesses child has

f7234459 Location:

Summary Statistics: Mean 48244.23357239594; Min. 11101.0; Max. 83312.0; StDev 23317.58716140604; Valid 5159.0

Variable Format: numeric

Notes: UNF:6:XqWiQdPonCXXJopXtq6hOg==

f7234459 Location:

Summary Statistics: StDev 2331758.433956181; Max. 8331211.0; Valid 5159.0; Mean 4824429.4768367205; Min. 1110101.0

Variable Format: numeric

Notes: UNF:6:mG962+gRIlO7MRa8RXjWFg==

f7234459 Location:

Summary Statistics: Valid 4437.0; Mean 0.5334685598377279; StDev 0.49893482547177054; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:4ZGCSX/GT2vzMD/cn3Y81A==

f7234459 Location:

Summary Statistics: Valid 4438.0; Mean 2.8557908968003543; Min. 2.0; StDev 0.39767925311706803; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:0oD4Z896lvZk9M1suxVZWg==

f7234459 Location:

Summary Statistics: Min. 0.0; Mean 0.009013068949977306; StDev 0.09451902756831272; Valid 4438.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:sO8kOCCxJ/gRDsHwGcxWbg==

f7234459 Location:

Summary Statistics: Mean 0.5; StDev 0.5063696835418333; Valid 40.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:7hDPxpP3vUr48OJZOrzDNg==

f7234459 Location:

Summary Statistics: StDev 0.4050957468334666; Min. 2.0; Valid 40.0; Mean 2.8; Max. 3.0

Variable Format: numeric

Notes: UNF:6:txwyhZCX2zwGMuMewNhxyg==

f7234459 Location:

Summary Statistics: Min. 1.0; Max. 9.0; StDev 1.139547953535405; Mean 2.555655700766107; Valid 4438.0

Variable Format: numeric

Notes: UNF:6:1dclWaMXJEKeMJlOqie8NA==

f7234459 Location:

Variable Format: character

Notes: UNF:6:z4mGJZpTVvbICM2fCoX4Zw==

f7234459 Location:

Summary Statistics: StDev 0.5345224838248487; Valid 7.0; Min. 0.0; Mean 0.42857142857142855; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:hnSOMCVb6X4RAY8wynKShQ==

f7234459 Location:

Summary Statistics: Min. 0.0; StDev 0.37796447300922725; Max. 1.0; Valid 7.0; Mean 0.8571428571428571

Variable Format: numeric

Notes: UNF:6:Ye0k/lGWBInqzLeA3u8XFw==

f7234459 Location:

Summary Statistics: StDev 3.8297084310253524; Valid 6.0; Min. 2.0; Max. 12.0; Mean 6.333333333333333

Variable Format: numeric

Notes: UNF:6:8PLvk1DUG027vO+a75njFQ==

f7234459 Location:

Summary Statistics: Valid 1.0; Mean 6.0; StDev 0.0; Min. 6.0; Max. 6.0

Variable Format: numeric

Notes: UNF:6:f3ne29gTXgme6s3Aty7Vpw==

f7234459 Location:

Summary Statistics: StDev 0.0; Valid 7.0; Min. 1.0; Mean 1.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:YABQooUbwGFem8gd2GIBVA==

f7234459 Location:

Summary Statistics: Mean NaN; StDev NaN; Min. NaN; Valid 0.0; Max. NaN;

Variable Format: numeric

Notes: UNF:6:DTJNDsRR48UIt4gPdZWT3A==

f7234459 Location:

Summary Statistics: Valid 1.0; StDev 0.0; Mean 1.0; Min. 1.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:jYzP+Fcnj37C4ZkjsqS8/Q==

f7234459 Location:

Summary Statistics: Max. 1.0; StDev 0.0; Valid 6.0; Min. 1.0; Mean 1.0

Variable Format: numeric

Notes: UNF:6:Wn0kjTZITOfqztp+w0NjiA==

f7234459 Location:

Variable Format: character

Notes: UNF:6:FETJg3BUu0YLpopiuRZZ6Q==

f7234459 Location:

Summary Statistics: Min. 0.0; Valid 3775.0; StDev 0.4998007232644705; Mean 0.48370860927152287; Max. 1.0

Variable Format: numeric

Notes: UNF:6:EP4yilS30PKzPFvGgA8REQ==

f7234459 Location:

Summary Statistics: Min. 0.0; Valid 3775.0; Mean 0.7411920529801326; StDev 0.4380379229957281; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:XyHhgtvbCt04UhtOeKUFog==

f7234459 Location:

Summary Statistics: Max. 19.0; Valid 2798.0; Mean 7.00893495353824; StDev 3.0735691856291907; Min. 2.0

Variable Format: numeric

Notes: UNF:6:FsR4Quk5e/kYiPux7RZaUw==

f7234459 Location:

Summary Statistics: Max. 23.0; StDev 5.888443345953886; Mean 11.718526100307058; Valid 977.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:b1k/LHVWHIpVl57tKwa8Rw==

f7234459 Location:

Summary Statistics: Min. 0.0; StDev 0.10562649075936387; Mean 0.9887187751813057; Max. 1.0; Valid 3723.0;

Variable Format: numeric

Notes: UNF:6:h34TquVn+3ST5Q4WoWYJYQ==

f7234459 Location:

Summary Statistics: Mean 0.56; StDev 0.5014265364224069; Max. 1.0; Min. 0.0; Valid 50.0

Variable Format: numeric

Notes: UNF:6:bMYinwm0JwZhYF0DLJcCyw==

f7234459 Location:

Summary Statistics: Mean 0.3828045035823956; Max. 1.0; StDev 0.4863201524052145; Valid 977.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:sqMGL15ONBHH6CDPtPJBIg==

f7234459 Location:

Summary Statistics: Valid 3401.0; Mean 0.9556012937371363; Max. 1.0; Min. 0.0; StDev 0.20600956242391055

Variable Format: numeric

Notes: UNF:6:OocG78GfFJ4U3zftCVng+A==

f7234459 Location:

Variable Format: character

Notes: UNF:6:IgTLikd/uFf7V9Dpz8Mqaw==

f7234459 Location:

Summary Statistics: StDev 0.49297294380372503; Valid 1934.0; Mean 0.4157187176835575; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:9CwwsZovSzP2g6+iiYCF7g==

f7234459 Location:

Summary Statistics: Min. 0.0; StDev 0.42901779402604734; Valid 1934.0; Mean 0.756980351602896; Max. 1.0

Variable Format: numeric

Notes: UNF:6:teevH5pHFCYan44ynvt/nA==

f7234459 Location:

Summary Statistics: Valid 1464.0; Max. 20.0; StDev 3.003229762944432; Min. 2.0; Mean 7.592896174863387

Variable Format: numeric

Notes: UNF:6:YHhOb2Lm1BXlSCCfhNO6dQ==

f7234459 Location:

Summary Statistics: StDev 6.114286053469825; Mean 10.480851063829785; Min. 1.0; Valid 470.0; Max. 23.0

Variable Format: numeric

Notes: UNF:6:YtKnOYClBkH537am8SCmZg==

f7234459 Location:

Summary Statistics: StDev 0.11401033222319588; Max. 1.0; Valid 1899.0; Mean 0.986835176408636; Min. 0.0

Variable Format: numeric

Notes: UNF:6:NAwmBhXILEI240wOuS71kQ==

f7234459 Location:

Summary Statistics: Valid 35.0; StDev 0.5020964452534339; Max. 1.0; Min. 0.0; Mean 0.5714285714285714

Variable Format: numeric

Notes: UNF:6:uM8ZeU7F6Hvp8eBmNc3CQA==

f7234459 Location:

Summary Statistics: Mean 0.4787234042553189; Max. 1.0; Valid 470.0; Min. 0.0; StDev 0.5000793839808138

Variable Format: numeric

Notes: UNF:6:RrV/icMje9ncRaOPQlIf+A==

f7234459 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.9444119368051492; Valid 1709.0; StDev 0.22919155084091908

Variable Format: numeric

Notes: UNF:6:u9oHA5+R8czMr3umSUgtPg==

f7234459 Location:

Variable Format: character

Notes: UNF:6:vM9LEx8aMQ4ZcnREgrG3qA==

f7234459 Location:

Summary Statistics: Min. 0.0; Mean 0.4118421052631577; Valid 760.0; Max. 1.0; StDev 0.4924909408456781;

Variable Format: numeric

Notes: UNF:6:fdABqvWRtHjvBSA72PKRjA==

f7234459 Location:

Summary Statistics: StDev 0.4143409888375268; Max. 1.0; Min. 0.0; Valid 760.0; Mean 0.7802631578947368

Variable Format: numeric

Notes: UNF:6:25mgCkOUeUnIkxSp1EEKEw==

f7234459 Location:

Summary Statistics: Min. 2.0; Max. 25.0; Mean 8.438448566610456; Valid 593.0; StDev 3.496620804211988

Variable Format: numeric

Notes: UNF:6:5g1CB3p+auvImHnBtxe89g==

f7234459 Location:

Summary Statistics: Min. 1.0; Mean 10.407185628742516; Valid 167.0; Max. 23.0; StDev 5.8000370674166115;

Variable Format: numeric

Notes: UNF:6:nHmUCRYgcDg/HiFecXml1g==

f7234459 Location:

Summary Statistics: Mean 0.9932795698924731; Valid 744.0; Max. 1.0; Min. 0.0; StDev 0.08175726349301268;

Variable Format: numeric

Notes: UNF:6:yOfqAWpbGDBGGb9SiLcxNw==

f7234459 Location:

Summary Statistics: Mean 0.5625; Valid 16.0; Min. 0.0; Max. 1.0; StDev 0.51234753829798

Variable Format: numeric

Notes: UNF:6:86au4UjQqQDA0C4fd48N9Q==

f7234459 Location:

Summary Statistics: Max. 1.0; Mean 0.5688622754491017; Min. 0.0; Valid 167.0; StDev 0.4967247172963151

Variable Format: numeric

Notes: UNF:6:8b8wDzoBHhAtT0yS1SPPbA==

f7234459 Location:

Summary Statistics: Mean 0.956390977443609; Max. 1.0; Valid 665.0; Min. 0.0; StDev 0.204377317406504

Variable Format: numeric

Notes: UNF:6:+f9lbWOtqiCll5WP40CApQ==

f7234459 Location:

Variable Format: character

Notes: UNF:6:HyymyaFEyvYRRhNdGy/p/g==

f7234459 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Valid 264.0; StDev 0.4869391030267122; Mean 0.3825757575757575;

Variable Format: numeric

Notes: UNF:6:Z72tGDbUdW2RK5y1/4kT/A==

f7234459 Location:

Summary Statistics: Valid 264.0; Max. 1.0; Min. 0.0; Mean 0.7765151515151516; StDev 0.4173717964831796

Variable Format: numeric

Notes: UNF:6:lMhPRiuadvDNb+SrpaKyYg==

f7234459 Location:

Summary Statistics: Max. 19.0; Min. 2.0; Valid 205.0; StDev 4.123552163922411; Mean 9.321951219512195

Variable Format: numeric

Notes: UNF:6:NK6YH8RLqQ0L9afyp1jSXw==

f7234459 Location:

Summary Statistics: Mean 9.59322033898305; Min. 1.0; Valid 59.0; Max. 18.0; StDev 4.821355668802752

Variable Format: numeric

Notes: UNF:6:TG2g1CqMsuerqu3t9Y3qiA==

f7234459 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 259.0; StDev 0.10720644008428913; Mean 0.9884169884169884

Variable Format: numeric

Notes: UNF:6:2RaYnZHoTwq14Q854kgr5w==

f7234459 Location:

Summary Statistics: Max. 1.0; Mean 0.8; StDev 0.44721359549995804; Valid 5.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:lSGZfSYhH23682O8wVc7sQ==

f7234459 Location:

Summary Statistics: StDev 0.4877218358133706; Valid 59.0; Max. 1.0; Mean 0.6271186440677966; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:Xo6c10sBdfJQPzfkHdAwMw==

f7234459 Location:

Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.18479912167464552; Valid 227.0; Mean 0.9647577092511013

Variable Format: numeric

Notes: UNF:6:J4oJKGb18bTBScDGR7UwCg==

f7234459 Location:

Variable Format: character

Notes: UNF:6:63XVQLBjljiiGv1LqtH56Q==

f7234459 Location:

Summary Statistics: StDev 0.49479185146852417; Valid 90.0; Mean 0.41111111111111115; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:TSrgK1KNL4d6GM1j6t5CIw==

f7234459 Location:

Summary Statistics: Min. 0.0; Valid 90.0; Max. 1.0; Mean 0.7555555555555555; StDev 0.4321649474711269

Variable Format: numeric

Notes: UNF:6:Rze0LdrNpOPMlkKoEa1NPw==

f7234459 Location:

Summary Statistics: Min. 2.0; Max. 19.0; Valid 68.0; StDev 4.911240265778104; Mean 10.382352941176471

Variable Format: numeric

Notes: UNF:6:gMPc6tabM0QYb5bOLhLtRg==

f7234459 Location:

Summary Statistics: Max. 18.0; StDev 5.509535221321156; Valid 22.0; Min. 1.0; Mean 10.454545454545455

Variable Format: numeric

Notes: UNF:6:1rZLhSP1574Wx7eyjTtAfQ==

f7234459 Location:

Summary Statistics: Min. 0.0; Valid 88.0; Max. 1.0; StDev 0.14988675627759465; Mean 0.9772727272727273;

Variable Format: numeric

Notes: UNF:6:Pp20XdQ2VpRGjHUWdDE8Gw==

f7234459 Location:

Summary Statistics: StDev 0.0; Mean 1.0; Max. 1.0; Min. 1.0; Valid 2.0;

Variable Format: numeric

Notes: UNF:6:riyuiZ+7wJRyN2VRvkFrEQ==

f7234459 Location:

Summary Statistics: StDev 0.5096471914376255; Valid 22.0; Mean 0.45454545454545453; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:/CkH3UEdY+3lRKWHxeNO7w==

f7234459 Location:

Summary Statistics: Max. 1.0; Valid 80.0; Min. 0.0; StDev 0.21932000780317507; Mean 0.95;

Variable Format: numeric

Notes: UNF:6:54QUHISXVx6EKhDDUKIe4A==

f7234459 Location:

Variable Format: character

Notes: UNF:6:4GHpkrG4q8d2sJEDNDMJdw==

f7234459 Location:

Summary Statistics: StDev 0.4982728791224399; Mean 0.4; Min. 0.0; Max. 1.0; Valid 30.0;

Variable Format: numeric

Notes: UNF:6:ZyfQHWssA5XJxuwG2UYKZA==

f7234459 Location:

Summary Statistics: Valid 30.0; Mean 0.7333333333333333; Max. 1.0; StDev 0.4497764451088037; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:GrmwhRo+1xo1tkWG/j72Yg==

f7234459 Location:

Summary Statistics: Mean 9.363636363636363; Valid 22.0; Max. 19.0; Min. 2.0; StDev 5.533839229990027

Variable Format: numeric

Notes: UNF:6:foUk4Vwbn8Us/M5ALwM2Ag==