Cause of Death Data (doi:10.7910/DVN/ZVN8XQ)

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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

Document Description

Citation

Title:

Cause of Death Data

Identification Number:

doi:10.7910/DVN/ZVN8XQ

Distributor:

Harvard Dataverse

Date of Distribution:

2007-11-28

Version:

5

Bibliographic Citation:

Girosi, Frederico; King, Gary, 2007, "Cause of Death Data", https://doi.org/10.7910/DVN/ZVN8XQ, Harvard Dataverse, V5, UNF:3:9JU+SmVyHgwRhAKclQ85Cg== [fileUNF]

Study Description

Citation

Title:

Cause of Death Data

Identification Number:

doi:10.7910/DVN/ZVN8XQ

Authoring Entity:

Girosi, Frederico (University of Genova)

King, Gary (Harvard University)

Date of Production:

2006

Distributor:

Harvard Dataverse

Distributor:

Harvard Dataverse

Date of Deposit:

2006

Date of Distribution:

2008

Holdings Information:

https://doi.org/10.7910/DVN/ZVN8XQ

Study Scope

Keywords:

Social Sciences

Topic Classification:

Public health

Abstract:

We introduce a new framework for forecasting age-sex-country-cause-specific mortality rates that incorporates considerably more information, and thus has the potential to forecast much better, than any existing approach. Mortality forecasts are used in a wide variety of academic fields, and for global and national health policy making, medical and pharmaceutical research, and social security and retirement planning. <br /> <br /> As it turns out, the tools we developed in pursuit of this goal also have broader statistical implications, in addition to their use for forecasting mortality or other variables with similar statistical properties. First, our methods make it possible to include different explanatory variables in a time series regression for each cross-section, while still borrowing strength from one regression to improve the estimation of all. Second, we show that many existing Bayesian (hierarchi cal and spatial) models with explanatory variables use prior densities that incorrectly formalize prior knowledge. Many demographers and public health researchers have fortuitously avoided this problem so prevalent in other fields by using prior knowledge only as an ex post check on empirical results, but this approach excludes considerable information from their models. We show how to incorporate this demographic knowledge into a model in a statistically appropriate way. Finally, we develop a set of tools useful for developing models with Bayesian priors in the presence of partial prior ignorance. This approach also provides many of the attractive features claimed by the empirical Bayes approach, but fully within the standard Bayesian theory of inference. <br /> <br /> See also: <a href="http://gking.harvard.edu/category/research-interests/applications/mortality-studies" target="_blank">Mortality Studies</a> , <a href="http://gking.harvard.edu/category/research-interests/methods/event-counts-and-durations" target="_blank">Event Counts and Durations</a>

Methodology and Processing

Sources Statement

Data Access

Notes:

This dataset is made available without information on how it can be used. You should communicate with the Contact(s) specified before use.

Other Study Description Materials

Related Publications

Citation

Title:

Girosi, Federico, and Gary King. 2008. Demographic Forecasting. Princeton: Princeton University Press: <a href="http://j.mp/pqms4U" target="_blank">Link to abstract</a>

Bibliographic Citation:

Girosi, Federico, and Gary King. 2008. Demographic Forecasting. Princeton: Princeton University Press: <a href="http://j.mp/pqms4U" target="_blank">Link to abstract</a>

File Description--f109411

File: adjacency.tab

  • Number of cases: 36480

  • No. of variables per record: 3

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

Notes:

UNF:3:yR27Aj7NNWF2giuB4DOunw==

Proximity Data File

File Description--f109439

File: AIDS.tab

  • Number of cases: 526013

  • No. of variables per record: 3

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

Notes:

UNF:3:4hMOmPikXfWKLcv8fy++3w==

Number of deaths from AIDS

File Description--f109446

File: allc.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:RSKM+2wMeD2gRckS6Ou49w==

Number of deaths from All Causes

File Description--f109420

File: allo.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:2bh52q8Z/eSVvlnvKyAR0A==

Number of deaths from All Other Diseases

File Description--f109456

File: brst.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:NzFFooG/XLlcrUfExIpCyw==

Number of deaths from Breast Cancer

File Description--f109453

File: cerv.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:K0ydvuRcUy+Skvhvgwzw7A==

NUmber of deaths from Cervic Cancer

File Description--f109458

File: cntry.codes.tab

  • Number of cases: 191

  • No. of variables per record: 2

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

Notes:

UNF:3:Wk6oeiEY596Q9bA7XvYXrQ==

Country and associated codes data file

File Description--f109394

File: cvds.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:oZDIOazV+L4K2Aold+poQw==

Number of deaths from Cardiovascular Disease

File Description--f109399

File: dgst.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:BvZWtcMc/doM7fEPVNOHAA==

Number of deaths from Digestive Disease

File Description--f109432

File: fat.tab

  • Number of cases: 15471

  • No. of variables per record: 2

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

Notes:

UNF:3:uhoFxJc6HwpNCIDS1Am9qQ==

Covariate: Fat

File Description--f109407

File: gdp.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:BvZWtcMc/doM7fEPVNOHAA==

Covariate: Measure of Gross Domestic Product Per Capita

File Description--f109434

File: hc.tab

  • Number of cases: 15471

  • No. of variables per record: 2

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

Notes:

UNF:3:GO7AANmHdvapXt2ymbX8jA==

Covariate: Measure of Human Capital

File Description--f109443

File: homi.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:4eltLL516F8R6VK6vWmMag==

Number of deaths from Homicides

File Description--f109410

File: livc.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:Mfy5bzVpe8YETZBBHyNIYg==

Number of deaths from Liver Cancer

File Description--f109413

File: lung.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:KRNavyn8fk42UT6xmItT/w==

Number of deaths from Lung Cancer

File Description--f109441

File: malr.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:7+UR+xAPtAXhK0kfsqOaHw==

Number of deaths from Malaria

File Description--f109436

File: matc.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:OOAvxFTbfrDDYxmK4kCLyA==

Number of deaths from Maternal Conditions

File Description--f109400

File: molp.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:OoksoUQ8YvYYTTcBv9RrXA==

Number of deaths from Cancer of Mouth/Esophagus

File Description--f109447

File: omal.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:WrI/hK5zem+5YBUYSjtJwA==

Number of deaths from Other Malignant Neoplasms

File Description--f109424

File: otin.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:uwkr1S3bK6dm+c0JfrzSGA==

Number of deaths from Other Infectious Diseases

File Description--f109431

File: pern.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:l8zVVRnMx7LagMh6ArifmQ==

Number of deaths from Perinatal Conditions

File Description--f109417

File: population.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:J8T3vyd2cATEgfGbbrA0jg==

Measure of Population

File Description--f109404

File: rspc.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:e+UjPGo+VCmcoDWV/RgTqw==

Number of deaths from Chronic Respiratory Diseases

File Description--f109428

File: rspi.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:9DxgdsSZT5IQipixXDpOIw==

Number of deaths from Respiratory Diseases (Infectious)

File Description--f109405

File: stom.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:qs/LP/CvBgJIa6ysVbjWsg==

Number of deaths from Stomach Cancer

File Description--f109438

File: suic.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:IQPrPu+XlPDl00r3tyWYAQ==

Number of deaths from Suicide

File Description--f109423

File: tfr.tab

  • Number of cases: 15471

  • No. of variables per record: 2

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

Notes:

UNF:3:uGsZEaZkmenWRC2iRd0zLw==

Covariate: Measure of Fertility Rate

File Description--f109451

File: tobacco.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:etB5zaAPuUsxBLyHsA583Q==

Covariate: Tobacco

File Description--f109418

File: trns.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:sPGq32vXbgS3JYaF+Wgr0A==

Number of deaths from Transportation Accidents

File Description--f109426

File: tubr.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:0EUykSB2h26zv+OAK60CSg==

Number of deaths from Tuberculosis

File Description--f109448

File: unin.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:TAf1DQnQ1A4tt6YMPpULgw==

Number of deaths from Other Unintentional Injuries

File Description--f109401

File: ward.tab

  • Number of cases: 526014

  • No. of variables per record: 3

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

Notes:

UNF:3:ZxpwpF1NDLxecdRLRb0LSQ==

Number of deaths from War

Variable Description

List of Variables:
  • REGION - Region
  • COUNTRY - Country
  • CORRELAT - Correlation between countries
  • VALUES - Number of Deaths from AIDS
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from all causes
  • CSID - Cross-Sectional Identifier: Country, Age Group,and Year
  • GENDER - Gender
  • VALUES - Number of deaths from all other diseases
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - NUmber of Deaths from Breast Cancer
  • CSID - Cross-Sectional Identifier (Country, Age-Group, and Year)
  • GENDER - Gender
  • VALUES - Number of Deaths from Cervix Cancer
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • REGION - Correspondence between Country and Region
  • COUNTRY - Correspondence between Country and Region
  • VALUES - Number od Deaths from CardioVascular Disease
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from Digestive Disease
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Measure of Fat Covariate
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • VALUES - Measure of gross domestic product per capita
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Measure of Human Capital: Ave. yrs of schooling for age >15
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • VALUES - Number of Deaths by Homicide
  • CSID - Cross-Sectional identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of Death from Liver Cancer
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from lung cancer
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from malaria
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from maternal conditions
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from cancer of mouth/esophagus
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from other malignant neoplasms
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from other infectious diseases
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from perinatal conditions
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Measure of Population
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of Death from Chronic Respiratory Disease
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of Death from Infectious Respiratory Disease
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from Stomach Cancer
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from Suicide
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Measure of Fertility Rate (births per woman)
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • VALUES - Measure of tabacco
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of deaths from transportation accidents
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from Tuberculosis
  • CSID - Cross-Sectional Identifier: Country, Age-group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from Other Unintentional Injuries
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender
  • VALUES - Number of Deaths from War
  • CSID - Cross-Sectional Identifier: Country, Age-Group, and Year
  • GENDER - Gender

Variables

Region

f109411 Location:

Value

Label

Frequency

Text

2150.

AMR

0

4170.

EUR

0

1080.

AFRICA

0

3405.

EMR

0

3380.

SEAR

0

4005.

EUR

0

1310.

EMR

0

9999.

AFRICA

0

3400.

EUR

0

2230.

AMR

0

3030.

WPR

0

4276.

EUR

0

3210.

EMR

0

1230.

AFRICA

0

2310.

AMR

0

4220.

EUR

0

4030.

EUR

0

3010.

EMR

0

4205.

EUR

0

3255.

SEAR

0

1530.

AFRICA

0

4085.

EUR

0

3325.

WPR

0

4230.

EUR

0

1030.

AFRICA

0

1370.

AFRICA

0

4045.

EUR

0

4274.

EUR

0

3160.

WPR

0

1100.

AFRICA

0

1555.

AFRICA

0

1570.

AFRICA

0

3027.

SEAR

0

2170.

AMR

0

2180.

AMR

0

2130.

AMR

0

1120.

EMR

0

4272.

EUR

0

3110.

SEAR

0

1385.

AFRICA

0

3140.

EMR

0

1035.

AFRICA

0

3170.

EMR

0

3285.

EMR

0

3083.

SEAR

0

4280.

EUR

0

1240.

AFRICA

0

2020.

AMR

0

5205.

WPR

0

4260.

EUR

0

1260.

AFRICA

0

3260.

WPR

0

9994.

WPR

0

4210.

EUR

0

3130.

EMR

0

4195.

EUR

0

4300.

EUR

0

5020.

WPR

0

3280.

SEAR

0

1040.

AFRICA

0

3320.

EMR

0

4301.

EUR

0

-999.

Not available or missing

0

2120.

AMR

0

3080.

EMR

0

1045.

AFRICA

0

4080.

EUR

0

5207.

WPR

0

2290.

AMR

0

3025.

SEAR

0

3068.

WPR

0

4007.

EUR

0

2045.

AMR

0

1192.

AFRICA

0

2470.

AMR

0

2070.

AMR

0

2250.

AMR

0

3050.

WPR

0

3100.

SEAR

0

1325.

AFRICA

0

5150.

WPR

0

4150.

EUR

0

3020.

EMR

0

1470.

EMR

0

4055.

EUR

0

3420.

EMR

0

1510.

AFRICA

0

3150.

EUR

0

4020.

EUR

0

2270.

AMR

0

1420.

EMR

0

4084.

EUR

0

2370.

AMR

0

1220.

AFRICA

0

4270.

EUR

0

5110.

WPR

0

1430.

AFRICA

0

1090.

AFRICA

0

4140.

EUR

0

1390.

AFRICA

0

1060.

AFRICA

0

4070.

EUR

0

1546.

AFRICA

0

4188.

EUR

0

1330.

AFRICA

0

4190.

EUR

0

5070.

WPR

0

5170.

WPR

0

4160.

EUR

0

5060.

WPR

0

2090.

AMR

0

2260.

AMR

0

1140.

AFRICA

0

4275.

EUR

0

2030.

AMR

0

2160.

AMR

0

1020.

AFRICA

0

3300.

WPR

0

4018.

EUR

0

1300.

AFRICA

0

2440.

AMR

0

4010.

EUR

0

5105.

WPR

0

1160.

AFRICA

0

3350.

WPR

0

1560.

AFRICA

0

4050.

EUR

0

2010.

AMR

0

4186.

EUR

0

9993.

WPR

0

3340.

EMR

0

3270.

SEAR

0

1190.

AFRICA

0

5197.

WPR

0

1280.

AFRICA

0

1250.

EMR

0

3370.

EMR

0

4012.

EUR

0

1410.

AFRICA

0

4290.

EUR

0

1070.

AFRICA

0

2385.

AMR

0

1400.

AFRICA

0

2340.

AMR

0

4335.

EUR

0

4302.

EUR

0

1130.

AFRICA

0

5195.

WPR

0

3408.

WPR

0

4240.

EUR

0

4308.

EUR

0

1320.

AFRICA

0

2280.

AMR

0

3236.

WPR

0

3365.

SEAR

0

1520.

EMR

0

4303.

EUR

0

4025.

EUR

0

4008.

EUR

0

4180.

EUR

0

3200.

WPR

0

1025.

AFRICA

0

3190.

EMR

0

1290.

AFRICA

0

4182.

EUR

0

1480.

AFRICA

0

1010.

AFRICA

0

2350.

AMR

0

2430.

AMR

0

4038.

EUR

0

4200.

EUR

0

2060.

AMR

0

2450.

AMR

0

1270.

AFRICA

0

2460.

AMR

0

1170.

AFRICA

0

1340.

AFRICA

0

5200.

WPR

0

1115.

AFRICA

0

2040.

AMR

0

2190.

AMR

0

4340.

EUR

0

3290.

EMR

0

2400.

AMR

0

5198.

WPR

0

2140.

AMR

0

1180.

AFRICA

0

2420.

AMR

0

5180.

WPR

0

4184.

EUR

0

2360.

AMR

0

1125.

EMR

0

Variable Format: numeric

Notes: UNF:3:sLLN7hTNynZuCtfX2bebGA==

Country

f109411 Location:

Value

Label

Frequency

Text

1546.

UNITED REPUBLIC OF TANZANIA

0

1220.

KENYA

0

2370.

PERU

0

1045.

CAMEROON

0

4018.

BELARUS

0

4210.

NETHERLANDS

0

1520.

TUNISIA

0

4290.

SWEDEN

0

1192.

GUINEA-BISSAU

0

4008.

ANDORRA

0

2030.

BAHAMAS

0

1020.

ANGOLA

0

3083.

DEMOCRATIC PEOPLE'S REPUBLIC

0

4205.

MONACO

0

1080.

CHAD

0

3130.

IRAN, ISLAMIC REPUBLIC

0

4276.

SLOVENIA

0

5060.

COOK ISLAND

0

2160.

DOMINICA

0

4200.

MALTA

0

4308.

UNITED KINGDOM

0

1180.

GHANA

0

4030.

BULGARIA

0

5200.

TONGA

0

1400.

SEYCHELLES

0

1140.

ETHIOPIA

0

2360.

PARAGUAY

0

3236.

MALAYSIA

0

1325.

NAMIBIA

0

4150.

HUNGARY

0

4230.

POLAND

0

3370.

SYRIAN ARAB REPUBLIC

0

2280.

HONDURAS

0

1060.

CAPE VERDE

0

1160.

GABON

0

4038.

CROATIA

0

3350.

SINGAPORE

0

1390.

SENEGAL

0

4272.

RUSSIAN FEDERATION

0

4270.

ROMANIA

0

4335.

UZBEKISTAN

0

3025.

BANGLADESH

0

5180.

PALAU

0

3320.

QATAR

0

3365.

SRI LANKA

0

2190.

EL SALVADOR

0

3068.

CHINA

0

2440.

TRINIDAD AND TOBAGO

0

5195.

PAPAU NEW GUINEA

0

3300.

PHILIPPINES

0

2250.

GUATEMALA

0

4045.

CZECH REPUBLIC

0

3260.

MONGOLIA

0

5205.

TUVALU

0

1230.

LESOTHO

0

2470.

VENEZUELA, BOLIVARIAN REPUBLIC

0

4025.

BOSNIA AND HERZEGOVINA

0

2150.

CUBA

0

4186.

LATVIA

0

3340.

SAUDI ARABIA

0

3010.

AFGHANISTAN

0

4188.

LITHUANIA

0

1430.

SOUTH AFRICA

0

4180.

ITALY

0

3408.

VIET NAM

0

1190.

GUINEA

0

1480.

SWAZILAND

0

3160.

JAPAN

0

1370.

RWANDA

0

3285.

OMAN

0

1120.

DJIBOUTI

0

4340.

YUGOSLAVIA

0

1070.

CENTRAL AFRICAN REPUBLIC

0

5105.

KIRIBATI

0

1280.

MALI

0

4140.

GREECE

0

4280.

SPAIN

0

2140.

COSTA RICA

0

9994.

MARSHALL ISLANDS

0

3027.

BHUTAN

0

4240.

PORTUGAL

0

9999.

ERITREA

0

4220.

NORWAY

0

9993.

MICRONESIA, FEDERATED STATES

0

5170.

NIUE

0

1240.

LIBERIA

0

5207.

VANUATU

0

2385.

SAINT KITTS AND NEVIS

0

4190.

LUXEMBOURG

0

1310.

MOROCCO

0

2070.

BRAZIL

0

1100.

CONGO

0

4010.

AUSTRIA

0

2180.

ECUADOR

0

3140.

IRAQ

0

2290.

JAMAICA

0

1090.

COMOROS

0

5110.

NAURA

0

3400.

TURKEY

0

2430.

SURINAME

0

2400.

SAINT LUCIA

0

4070.

FINLAND

0

2230.

GRENADA

0

1170.

GAMBIA

0

4084.

GEORGIA

0

3280.

NEPAL

0

4007.

ARMENIA

0

1560.

ZAMBIA

0

3290.

PAKISTAN

0

3170.

JORDAN

0

1115.

CTE D'IVOIRE

0

4182.

KAZAKHSTAN

0

1300.

MAURITIUS

0

3325.

REPUBLIC OF KOREA

0

1025.

BENIN

0

4012.

AZERBAIJAN

0

4274.

SLOVAKIA

0

1555.

DEMOCRT. REPUBL. OF

0

3020.

BAHRAIN

0

2460.

URUGUAY

0

4080.

FRANCE

0

1260.

MADAGASCAR

0

1570.

ZIMBABWE

0

1470.

SUDAN

0

3050.

CAMBODIA

0

1320.

MOZAMBIQUE

0

2420.

SAINT VINCENT AND THE GRENADINES

0

5020.

AUSTRALIA

0

1290.

MAURITANIA

0

1250.

LIBYAN ARAB JAMAHIRIYA

0

4160.

ICELAND

0

1130.

EQUATORIAL GUINEA

0

2060.

BOLIVIA

0

3270.

MYANMAR

0

2010.

ANTIGUA AND BARBUDA

0

4184.

KYRGYZSTAN

0

4301.

TAJIKISTAN

0

3080.

CYPRUS

0

4020.

BELGIUM

0

5150.

NEW ZEALAND

0

4005.

ALBANIA

0

1040.

BURUNDI

0

5198.

SOLOMON ISLANDS

0

3200.

LAO PEOPLE'S DEMOCRATIC REPUBLIC

0

1330.

NIGER

0

5197.

SAMOA

0

3210.

LEBANON

0

2340.

NICARAGUA

0

2260.

GUYANA

0

2120.

CHILE

0

4055.

ESTONIA

0

2450.

UNITED STATES OF AMERICA

0

2045.

BELIZE

0

3420.

YEMEN

0

1340.

NIGERIA

0

3405.

UNITED ARAB EMIRATES

0

3380.

THAILAND

0

2040.

BARBADOS

0

3150.

ISRAEL

0

4170.

IRELAND

0

1010.

ALGERIA

0

1035.

BURKINA FASO

0

3100.

INDIA

0

3190.

KUWAIT

0

1385.

SAO TOME AND PRINCIPE

0

2270.

HAITI

0

4302.

TURKMENISTAN

0

4085.

GERMANY

0

1420.

SOMALIA

0

1510.

TOGO

0

4260.

REPUBLIC OF MOLDOVA

0

4275.

SAN MARINO

0

3255.

MALDIVES

0

2310.

MEXICO

0

1125.

EGYPT

0

2170.

DOMINICAN REPUBLIC

0

2350.

PANAMA

0

4050.

DENMARK

0

1410.

SIERRA LEONE

0

1530.

UGANDA

0

4300.

SWITZERLAND

0

3110.

INDONESIA

0

2130.

COLOMBIA

0

1030.

BOTSWANA

0

3030.

BRUNEI DARUSSALAM

0

5070.

FIJI

0

2020.

ARGENTINA

0

2090.

CANADA

0

4195.

FORMER YUGOSLAV REPUBLIC

0

4303.

UKRAINE

0

1270.

MALAWI

0

Variable Format: numeric

Notes: UNF:3:9isNeyGKp8GH27mQ7fihvA==

Correlation between countries

f109411 Location:

Value

Label

Frequency

Text

0.

No correlation

0

2.

Strong correlation

738

-999.

Not available or missing

34822

1.

Some correlation

920

Variable Format: numeric

Notes: UNF:3:x5N8aaw1YLpM/EkMR2DInw==

Number of Deaths from AIDS

f109439 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing data

Variable Format: numeric

Notes: UNF:3:JAw1xG09N4gv/zB6/rXurA==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109439 Location:

Variable Format: numeric

Notes: UNF:3:XWbDaFNB4EoP+k/tEshXTQ==

Gender

f109439 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263006

Variable Format: numeric

Notes: UNF:3:XCFio+LPYddMlRgkbRoWPA==

Number of deaths from all causes

f109446 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing

Variable Format: numeric

Notes: UNF:3:ST7U/bDD4hLmit1xNTElwQ==

Cross-Sectional Identifier: Country, Age Group,and Year

f109446 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109446 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from all other diseases

f109420 Location:

Value

Label

Frequency

Text

-999.

Not-applicable/missing

Variable Format: numeric

Notes: UNF:3:gEKLdoXf/d82j6Jlnfxu+g==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109420 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109420 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

NUmber of Deaths from Breast Cancer

f109456 Location:

Value

Label

Frequency

Text

-999.

Not-applicable/missing

Variable Format: numeric

Notes: UNF:3:PsNNVzIEqH0yWbLdSHqoTw==

Cross-Sectional Identifier (Country, Age-Group, and Year)

f109456 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109456 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from Cervix Cancer

f109453 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:ONeRO2Ij2Us/80iJ3a3b8w==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109453 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109453 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Correspondence between Country and Region

f109458 Location:

Value

Label

Frequency

Text

1290.

AFRICA

0

4308.

EUR

0

3320.

EMR

0

4080.

EUR

0

4084.

EUR

0

4150.

EUR

0

4274.

EUR

0

1510.

AFRICA

0

3405.

EMR

0

1325.

AFRICA

0

2310.

AMR

0

1060.

AFRICA

0

1470.

EMR

0

1370.

AFRICA

0

1520.

EMR

0

4030.

EUR

0

2370.

AMR

0

5070.

WPR

0

2230.

AMR

0

3400.

EUR

0

5198.

WPR

0

2020.

AMR

0

1250.

EMR

0

4085.

EUR

0

1390.

AFRICA

0

3340.

EMR

0

1120.

EMR

0

4340.

EUR

0

1070.

AFRICA

0

4025.

EUR

0

1400.

AFRICA

0

1180.

AFRICA

0

3150.

EUR

0

2420.

AMR

0

1160.

AFRICA

0

4050.

EUR

0

3270.

SEAR

0

1320.

AFRICA

0

4070.

EUR

0

3020.

EMR

0

1190.

AFRICA

0

1192.

AFRICA

0

3027.

SEAR

0

2440.

AMR

0

2470.

AMR

0

1090.

AFRICA

0

4260.

EUR

0

1100.

AFRICA

0

3160.

WPR

0

5110.

WPR

0

3050.

WPR

0

1040.

AFRICA

0

5200.

WPR

0

5195.

WPR

0

1025.

AFRICA

0

2030.

AMR

0

3068.

WPR

0

2160.

AMR

0

3370.

EMR

0

1430.

AFRICA

0

3365.

SEAR

0

1300.

AFRICA

0

5150.

WPR

0

1560.

AFRICA

0

3080.

EMR

0

1410.

AFRICA

0

4182.

EUR

0

1555.

AFRICA

0

2130.

AMR

0

4302.

EUR

0

2040.

AMR

0

1030.

AFRICA

0

2460.

AMR

0

1115.

AFRICA

0

4038.

EUR

0

3210.

EMR

0

4055.

EUR

0

4195.

EUR

0

2090.

AMR

0

3285.

EMR

0

4300.

EUR

0

2170.

AMR

0

4005.

EUR

0

1140.

AFRICA

0

4170.

EUR

0

4008.

EUR

0

4007.

EUR

0

1340.

AFRICA

0

9994.

WPR

0

4270.

EUR

0

4210.

EUR

0

4301.

EUR

0

1230.

AFRICA

0

2385.

AMR

0

4018.

EUR

0

3130.

EMR

0

1125.

EMR

0

1570.

AFRICA

0

4045.

EUR

0

4010.

EUR

0

4012.

EUR

0

2045.

AMR

0

3408.

WPR

0

3260.

WPR

0

4240.

EUR

0

1310.

EMR

0

1385.

AFRICA

0

3100.

SEAR

0

1240.

AFRICA

0

4280.

EUR

0

3025.

SEAR

0

3420.

EMR

0

3170.

EMR

0

2250.

AMR

0

2260.

AMR

0

3236.

WPR

0

1420.

EMR

0

1020.

AFRICA

0

1280.

AFRICA

0

2280.

AMR

0

5020.

WPR

0

4200.

EUR

0

4205.

EUR

0

3190.

EMR

0

1170.

AFRICA

0

4275.

EUR

0

4184.

EUR

0

3030.

WPR

0

3140.

EMR

0

2360.

AMR

0

1045.

AFRICA

0

3110.

SEAR

0

1270.

AFRICA

0

3010.

EMR

0

4190.

EUR

0

4276.

EUR

0

2150.

AMR

0

3255.

SEAR

0

5060.

WPR

0

4272.

EUR

0

1035.

AFRICA

0

2120.

AMR

0

4186.

EUR

0

3300.

WPR

0

2450.

AMR

0

3280.

SEAR

0

2400.

AMR

0

4220.

EUR

0

2180.

AMR

0

5170.

WPR

0

4140.

EUR

0

2140.

AMR

0

2350.

AMR

0

5197.

WPR

0

1260.

AFRICA

0

3325.

WPR

0

2070.

AMR

0

3350.

WPR

0

5180.

WPR

0

4290.

EUR

0

5105.

WPR

0

4180.

EUR

0

3380.

SEAR

0

4335.

EUR

0

1130.

AFRICA

0

1080.

AFRICA

0

4188.

EUR

0

2060.

AMR

0

5205.

WPR

0

2290.

AMR

0

4303.

EUR

0

9993.

WPR

0

2340.

AMR

0

2190.

AMR

0

1480.

AFRICA

0

3083.

SEAR

0

9999.

AFRICA

0

2270.

AMR

0

2430.

AMR

0

1220.

AFRICA

0

4230.

EUR

0

2010.

AMR

0

4160.

EUR

0

3200.

WPR

0

1010.

AFRICA

0

1330.

AFRICA

0

4020.

EUR

0

5207.

WPR

0

1530.

AFRICA

0

1546.

AFRICA

0

3290.

EMR

0

Variable Format: numeric

Notes: UNF:3:1vWEafmeN5sSvGWY70bPOg==

Correspondence between Country and Region

f109458 Location:

Variable Format: character

Notes: UNF:3:I+ln2z4MqyiaXZTgNSDb6A==

Number od Deaths from CardioVascular Disease

f109394 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing

Variable Format: numeric

Notes: UNF:3:AX3GZmZBfwgeLOORqg3YJg==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109394 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109394 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from Digestive Disease

f109399 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing data

Variable Format: numeric

Notes: UNF:3:uv+jNIGyDbdlxl0UYbOnMQ==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109399 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109399 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Measure of Fat Covariate

f109432 Location:

Value

Label

Frequency

Text

NA.

not applicable

0

Variable Format: character

Notes: UNF:3:YLXnpR1ltT61zyaNwYTJQA==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109432 Location:

Variable Format: numeric

Notes: UNF:3:sFj6g7aM2prq8PLidRLCuQ==

Measure of gross domestic product per capita

f109407 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing data

Variable Format: numeric

Notes: UNF:3:uv+jNIGyDbdlxl0UYbOnMQ==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109407 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109407 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Measure of Human Capital: Ave. yrs of schooling for age >15

f109434 Location:

Variable Format: numeric

Notes: UNF:3:dmObK6pYYMWcWFC4Krd/HQ==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109434 Location:

Variable Format: numeric

Notes: UNF:3:sFj6g7aM2prq8PLidRLCuQ==

Number of Deaths by Homicide

f109443 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing

Variable Format: numeric

Notes: UNF:3:8z+nmagnTEYqCjXH8bV65g==

Cross-Sectional identifier: Country, Age-Group, and Year

f109443 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109443 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Death from Liver Cancer

f109410 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:FL3uL/6m/lKPVrdY3m2wgA==

Cross-Sectional Identifier: Country, Age-group, and Year

f109410 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109410 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from lung cancer

f109413 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:iwY0bsUtH4U4C5CySAudHQ==

Cross-Sectional Identifier: Country, Age-group, and Year

f109413 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109413 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from malaria

f109441 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:HYNoAtZFy7jMuo9fQY3viQ==

Cross-Sectional Identifier: Country, Age-group, and Year

f109441 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109441 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from maternal conditions

f109436 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:vzLn6i0csoJWiojFrWemOg==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109436 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109436 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from cancer of mouth/esophagus

f109400 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:bT0IU6fGWEYitUOoCNkJyg==

Cross-Sectional Identifier: Country, Age-group, and Year

f109400 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109400 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from other malignant neoplasms

f109447 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:nn2xNx0w31L0K81wAEGhkA==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109447 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109447 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from other infectious diseases

f109424 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:hDOe0bIMTUdmFPmYjzBQLQ==

Cross-Sectional Identifier: Country, Age-group, and Year

f109424 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109424 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from perinatal conditions

f109431 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:9gw3zXeQfoqNcAoEhH8yiw==

Cross-Sectional Identifier: Country, Age-group, and Year

f109431 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109431 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Measure of Population

f109417 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:tZTUHqw66avy0lKp+0Hpxg==

Cross-Sectional Identifier: Country, Age-group, and Year

f109417 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109417 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Death from Chronic Respiratory Disease

f109404 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:ywqRVSY5GZUi1ghMXNchWQ==

Cross-Sectional Identifier: Country, Age-group, and Year

f109404 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109404 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Death from Infectious Respiratory Disease

f109428 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:YI2fFJ9IpOLQOUYllOAyZA==

Cross-Sectional Identifier: Country, Age-group, and Year

f109428 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109428 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from Stomach Cancer

f109405 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:Z6adOk3QqKT8RusMuPyvuQ==

Cross-Sectional Identifier: Country, Age-group, and Year

f109405 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109405 Location:

Value

Label

Frequency

Text

3.

female

263007

2.

male

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from Suicide

f109438 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:jSnRv7+qJy0vaTnWUbCl0Q==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109438 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109438 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Measure of Fertility Rate (births per woman)

f109423 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:MHkbtjruyVJsxGXd950ZkQ==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109423 Location:

Variable Format: numeric

Notes: UNF:3:sFj6g7aM2prq8PLidRLCuQ==

Measure of tabacco

f109451 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:0ESCGx/L/KPNMckLWr+gsg==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109451 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109451 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of deaths from transportation accidents

f109418 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing data

Variable Format: numeric

Notes: UNF:3:HlepmhErDP6dLT+cBkv7dg==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109418 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109418 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from Tuberculosis

f109426 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:A5wN+Tut++YkjaGjJX94eA==

Cross-Sectional Identifier: Country, Age-group, and Year

f109426 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109426 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from Other Unintentional Injuries

f109448 Location:

Value

Label

Frequency

Text

-999.

not applicable/missing

Variable Format: numeric

Notes: UNF:3:HY+Ce4rLF2hiCJ1rDZMQvw==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109448 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109448 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Number of Deaths from War

f109401 Location:

Value

Label

Frequency

Text

-999.

Not applicable/missing

Variable Format: numeric

Notes: UNF:3:1W+HhSpc8dCYc4cAZ9cXfg==

Cross-Sectional Identifier: Country, Age-Group, and Year

f109401 Location:

Variable Format: numeric

Notes: UNF:3:bhpFhM7jwTZCqpZ/FRF9ag==

Gender

f109401 Location:

Value

Label

Frequency

Text

2.

male

263007

3.

female

263007

Variable Format: numeric

Notes: UNF:3:VsbW5n0fQp5eaU0yWeM8OQ==

Other Study-Related Materials

Label:

adjacency.txt

Text:

Proximity data, text file format

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

AIDS.txt

Text:

Number of deaths from AIDS, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

allc.txt

Text:

Number of deaths from All Causes, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

allo.txt

Text:

Number of deaths from All Other Diseases, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

brst.txt

Text:

Number of deaths from Breast Cancer, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

cerv.txt

Text:

Number of deaths from Cervix Cancer, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

cntry.codes.txt

Text:

Country and associated codes data file, text file format

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

cvds.txt

Text:

Number of deaths from Cardiovascular Disease, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

Demographic Forecasting.pdf

Text:

Draft book manuscript for this study

Notes:

application/pdf

Other Study-Related Materials

Label:

dgst.txt

Text:

Number of deaths from Digestive Diseases, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

fat.txt

Text:

Covariate: Fat, text file format

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

gdp.txt

Text:

Covariate: Gross Domestic Product Per Capita, text file format

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

hc.txt

Text:

Covariate: Human Capital, text file format

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

homi.txt

Text:

Number of deaths from Homicides, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

livc.txt

Text:

Number of deaths from Liver Cancer, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

lung.txt

Text:

Number of deaths from Lung Cancer, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

malr.txt

Text:

Number of deaths from Malaria, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

matc.txt

Text:

Number of deaths from Maternal Conditions, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

molp.txt

Text:

Number of deaths from Cancer of the Mouth/Esophagus, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

omal.txt

Text:

Number of deaths from Other Malignant Neoplasms, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

otin.txt

Text:

Number of deaths from Other Infectious Diseases, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

pern.txt

Text:

Number of deaths from Perinatal Conditions, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

population.txt

Text:

Measure of Population, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

rspc.txt

Text:

Number of deaths from Chronic Respiratory Diseases, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

rspi.txt

Text:

Number of deaths from Respiratory Disease (Infectious), text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

stom.txt

Text:

Number of deaths from Stomach Cancer, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

suic.txt

Text:

Number of deaths from Suicide, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

tfr.txt

Text:

Covariate: Fertility Rate Measure, text file format

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

tobacco.txt

Text:

Covariate: Tobacco, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

trns.txt

Text:

Number of deaths from Transportation Accidents, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

tubr.txt

Text:

Number of deaths from Tuberculosis, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

unin.txt

Text:

Number of deaths from Other Unintentional Injuries, text file format

Notes:

application/octet-stream

Other Study-Related Materials

Label:

ward.txt

Text:

Number of deaths from War, text file format

Notes:

application/octet-stream