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    Home / Central Data Catalog / GIN_1999_DHS_V01_M / variable [F1]
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Enquête Démographique et de Santé 1999

Guinea, 1999
Reference ID
GIN_1999_DHS_v01_M
Producer(s)
Direction National de la Statistique et de l'Information (DNSI)
Metadata
DDI/XML JSON
Created on
Apr 25, 2019
Last modified
Apr 25, 2019
Page views
391
  • Study Description
  • Data Description
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  • Data Files
  • MWI1987-H-H
  • MWI1987-P-H
CSV JSON

IPUMS sample identifier (SAMPLE)

Data file: MWI1987-H-H

Overview

Valid: 0
Invalid: 0
Type: Discrete
Decimal: 0
Range: -
Format:

Questions and instructions

Categories
Value Category
321 Argentina 1970
322 Argentina 1980
323 Argentina 1991
324 Argentina 2001
401 Austria 1971
402 Austria 1981
403 Austria 1991
404 Austria 2001
511 Armenia 2001
681 Bolivia 1976
682 Bolivia 1992
683 Bolivia 2001
761 Brazil 1960
762 Brazil 1970
763 Brazil 1980
764 Brazil 1991
765 Brazil 2000
1121 Belarus 1999
1161 Cambodia 1998
1162 Cambodia 2008
1241 Canada 1971
1242 Canada 1981
1243 Canada 1991
1244 Canada 2001
1521 Chile 1960
1522 Chile 1970
1523 Chile 1982
1524 Chile 1992
1525 Chile 2002
1561 China 1982
1562 China 1990
1701 Colombia 1964
1702 Colombia 1973
1703 Colombia 1985
1704 Colombia 1993
1705 Colombia 2005
1881 Costa Rica 1963
1882 Costa Rica 1973
1883 Costa Rica 1984
1884 Costa Rica 2000
1921 Cuba 2002
2181 Ecuador 1962
2182 Ecuador 1974
2183 Ecuador 1982
2184 Ecuador 1990
2185 Ecuador 2001
2501 France 1962
2502 France 1968
2503 France 1975
2504 France 1982
2505 France 1990
2506 France 1999
2507 France 2006
2751 Palestine 1997
2752 Palestine 2007
2761 Germany 1970 (West)
2762 Germany 1971 (East)
2763 Germany 1981 (East)
2764 Germany 1987 (West)
2881 Ghana 2000
3001 Greece 1971
3002 Greece 1981
3003 Greece 1991
3004 Greece 2001
3241 Guinea 1983
3242 Guinea 1996
3481 Hungary 1970
3482 Hungary 1980
3483 Hungary 1990
3484 Hungary 2001
3561 India 1983
3562 India 1987
3563 India 1993
3564 India 1999
3565 India 2004
3641 Iran 2006
3681 Iraq 1997
3721 Ireland 1971
3722 Ireland 1979
3723 Ireland 1981
3724 Ireland 1986
3725 Ireland 1991
3726 Ireland 1996
3727 Ireland 2002
3728 Ireland 2006
3761 Israel 1972
3762 Israel 1983
3763 Israel 1995
3801 Italy 2001
3881 Jamaica 1982
3882 Jamaica 1991
3883 Jamaica 2001
4001 Jordan 2004
4041 Kenya 1989
4042 Kenya 1999
4171 Kyrgyz Republic 1999
4541 Malawi 1987
4542 Malawi 1998
4543 Malawi 2008
4581 Malaysia 1970
4582 Malaysia 1980
4583 Malaysia 1991
4584 Malaysia 2000
4661 Mali 1987
4662 Mali 1998
4841 Mexico 1960
4842 Mexico 1970
4843 Mexico 1990
4844 Mexico 1995
4845 Mexico 2000
4846 Mexico 2005
4961 Mongolia 1989
4962 Mongolia 2000
5241 Nepal 2001
5281 Netherlands 1960
5282 Netherlands 1971
5283 Netherlands 2001
5861 Pakistan 1973
5862 Pakistan 1981
5863 Pakistan 1998
5911 Panama 1960
5912 Panama 1970
5913 Panama 1980
5914 Panama 1990
5915 Panama 2000
6041 Peru 1993
6042 Peru 2007
6081 Philippines 1990
6082 Philippines 1995
6083 Philippines 2000
6201 Portugal 1981
6202 Portugal 1991
6203 Portugal 2001
6301 Puerto Rico 1970
6302 Puerto Rico 1980
6303 Puerto Rico 1990
6304 Puerto Rico 2000
6305 Puerto Rico 2005
6421 Romania 1977
6422 Romania 1992
6423 Romania 2002
6461 Rwanda 1991
6462 Rwanda 2002
6621 Saint Lucia 1980
6622 Saint Lucia 1991
6861 Senegal 1988
6862 Senegal 2002
6941 Sierra Leone 2004
7041 Vietnam 1989
7042 Vietnam 1999
7043 Vietnam 2009
7051 Slovenia 2002
7101 South Africa 1996
7102 South Africa 2001
7103 South Africa 2007
7241 Spain 1981
7242 Spain 1991
7243 Spain 2001
7361 Sudan 2008
7561 Switzerland 1970
7562 Switzerland 1980
7563 Switzerland 1990
7564 Switzerland 2000
7641 Thailand 1970
7642 Thailand 1980
7643 Thailand 1990
7644 Thailand 2000
8001 Uganda 1991
8002 Uganda 2002
8181 Egypt 1996
8182 Egypt 2006
8261 United Kingdom 1991
8262 United Kingdom 2001
8341 Tanzania 1988
8342 Tanzania 2002
8401 United States 1960
8402 United States 1970
8403 United States 1980
8404 United States 1990
8405 United States 2000
8406 United States 2005
8621 Venezuela 1971
8622 Venezuela 1981
8623 Venezuela 1990
8624 Venezuela 2001
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Definition
SAMPLE identifies the IPUMS sample from which the case is drawn. Each sample receives a unique 4-digit code. The first 3 digits are the ISO/UN codes used in CNTRY, and the last digit identifies the sample within the country ordered by census year.

concept

Concept
Name Vocabulary
Technical Variables -- HOUSEHOLD IPUMS
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