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Data available from external repository
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Country (Z-A)
Socioeconomic Assessment of Refugees through Individual Profiling Exercise - Home Visits, 2022
Uganda, 2022
Registration in Uganda is carried out by the Government of Uganda through the Office of the Prime Minister (OPM) with support from the United Nations High Commissioner for Refugees (UNHCR). In October 2021, OPM and UNHCR commenced a joint verificatio…
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Registration in Uganda is carried out by the Government of Uganda through the Office of the Prime Minister (OPM) with support from the United Nations High Commissioner for Refugees (UNHCR). In October 2021, OPM and UNHCR commenced a joint verification and individual profiling exercise (IPE) targeting 1,549,181 refugees and asylum seekers consisting of 388,989 households residing in all settlements and urban areas in Uganda. The main population groups are the South Sudanese (61%), Congolese (29%)
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UNHCR
ID:
UGA_2021_IPEHV_v01_M
Last modified:
Feb 06, 2023
Views:
16
Data available from external repository
Socioeconomic Impact of COVID-19, 2021
Costa Rica, 2021
UNHCR
ID:
CRI_2021_SEIC_v01_M
Last modified:
Feb 06, 2023
Views:
12
Data available from external repository
Socioeconomic Impact of COVID-19, 2021
Mexico, 2021
UNHCR
ID:
MEX_2021_SEIC_v01_M
Last modified:
Feb 06, 2023
Views:
104
Data available from external repository
Socioeconomic Panel Survey 2013-2014, Wave 2
Ghana, 2013-2014
Institute of Statistical, Social and Economic Research,
ID:
GHA_2013_GSPS_v01_M
Last modified:
Jul 14, 2022
Views:
906
Data available from external repository
Socioeconomic Panel Survey 2018-2019, Wave 3
Ghana, 2018-2019
Institute of Statistical, Social and Economic Research,
ID:
GHA_2018_GSPS_v01_M
Last modified:
Jul 14, 2022
Views:
574
Data available from external repository
Socioeconomic Panel Survey: 2009-2010
Ghana, 2009-2010
Institute of Statistical, Social and Economic Research, Economic Growth Center
ID:
GHA_2009_GSPS_v01_M
Last modified:
Mar 29, 2019
Views:
1046
Citations:
4
Data available from external repository
Socioeconomic Survey 2013-2014
Ethiopia, 2013-2014
Central Statistics Agency of Ethiopia (CSA), Living Standards Measurement Study Integrated Surveys of Agriculture (LSMS-ISA)
ID:
ETH_2013_ESS_v03_M
Last modified:
Mar 29, 2019
Views:
788
Citations:
18
Data available from external repository
Socioeconomic Survey 2018-2019
Ethiopia, 2018-2019
Central Statistics Agency of Ethiopia
ID:
ETH_2018_ESS_v04_M
Last modified:
Sep 05, 2025
Views:
714
Data available from external repository
Socioeconomic Survey of Refugees in Kakuma 2019
Kenya, 2019
Since 1992, Kenya has been a generous host of refugees and asylum seekers, a population which today exceeds 500,000 people. The Kakuma Refugee Camps have long been among the largest hosting sites (about 40% of the total refugees in Kenya), and have b…
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Since 1992, Kenya has been a generous host of refugees and asylum seekers, a population which today exceeds 500,000 people. The Kakuma Refugee Camps have long been among the largest hosting sites (about 40% of the total refugees in Kenya), and have become even larger in recent years, with an estimated 67 percent of the current refugee population arriving in the past five years. In 2015, UNHCR, the Government of Kenya, and partners established Kalobeyei Settlement, located 40 kilometers north of
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United Nations High Commissioner for Refugees, The World Bank
ID:
KEN_2019_SES-KKM_v01_M
Last modified:
Dec 05, 2022
Views:
74
Data available from external repository
Socioeconomic Survey of Urban Refugees in Kenya, 2021
Kenya, 2020
UNHCR, The World Bank
ID:
KEN_2021_SES-URB_v01_M
Last modified:
Feb 06, 2023
Views:
12
Data available from external repository
Socioeconomic Survey of the Stateless Shona in 2019
Kenya, 2019
United Nations High Commissioner for Refugees (UNHCR)
ID:
KEN_2019_SES_v01_M
Last modified:
Oct 14, 2021
Views:
56
Data available from external repository
Somaliland Household Survey 2012-2013
Somalia, 2012-2013
The Somaliland Household Survey aimed to provide statistics at the national level and a disaggregation between the capital, Hergaisa and the rest of the country (combining the rural and other urban area).The World Bank contracted Kimetrica Internatio…
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The Somaliland Household Survey aimed to provide statistics at the national level and a disaggregation between the capital, Hergaisa and the rest of the country (combining the rural and other urban area).The World Bank contracted Kimetrica International to conduct two surveys. Somaliland does not have a census-based frame to use for designing a representative sample survey. The objectives of the SHS include: 1. To provide data from different sources for different reasons. The household survey w
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World Bank Group
ID:
SOM_2012_SHS_v01_M
Last modified:
Mar 29, 2019
Views:
264
Data not available
Somaliland Household Survey 2013, Adapted for the Somali High Frequency Survey
Somalia, 2013
In 2013, the World Bank, in collaboration with the Ministry of Planning and Development implemented the 2013 Somaliland Household Survey (SHS 2013). Somaliland self-declared independence in 1991. The survey interviewed 852 urban and 873 rural househo…
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In 2013, the World Bank, in collaboration with the Ministry of Planning and Development implemented the 2013 Somaliland Household Survey (SHS 2013). Somaliland self-declared independence in 1991. The survey interviewed 852 urban and 873 rural households. The sample was drawn randomly based on a multi-level clustered design. This dataset contains information on consumption, income and household characteristics. The sample is representative of urban Somaliland, and parts of rural Somaliland. It do
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The World Bank Group
ID:
SOM_2012_SHS_v01_M_v01_A_SHFS
Last modified:
Jun 26, 2017
Views:
296
Citations:
1
Data available from external repository
South African Census 2001
South Africa, 2001
Statistics South Africa
ID:
ZAF_2001_PHC_v01_M
Last modified:
Mar 29, 2019
Views:
80
Citations:
111
Data available from external repository
South African Census 2001
South Africa, 2001
This dataset includes imputation for missing data in key variables in the ten percent sample of the 2001 South African Census. Researchers at the Centre for the Analysis of South African Social Policy (CASASP) at the University of Oxford used sequent…
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This dataset includes imputation for missing data in key variables in the ten percent sample of the 2001 South African Census. Researchers at the Centre for the Analysis of South African Social Policy (CASASP) at the University of Oxford used sequential multiple regression techniques to impute income, education, age, gender, population group, occupation and employment status in the dataset. The main focus of the work was to impute income where it was missing or recorded as zero. The imputed resu
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Centre for the Analysis of South African Social Policy, Statistics South Africa
ID:
ZAF_2001_PHC_v01_M_v01_A_CASASP
Last modified:
Mar 29, 2019
Views:
6
Citations:
4
Data available from external repository
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