Between August and September 2021, UNHCR and WFP undertook an assessment of refugees from the Central African Republic in North and South Ubangui provinces of the Democratic Republic of the Congo (DRC). The main objective of the of the assessment of needs and livelihoods is to understand the basic needs and vulnerabilities, particularly related to livelihoods, of refugees.
The assessment was a joint effort between the UNHCR and WFP country offices and the UNHCR-WFP Joint Targetting Hub. Data collection took place from August 17 to September 17, 2021 in the four refugee camps of Bili and Inke (North Ubangi) and Boyabu and Mole (South Ubangi). 1,450 households were selected using stratified random sampling, with 1,328 were retained. See more details in the report. This dataset represents an anonymous version of the original dataset.
Between February and March 2021, UNHCR and WFP undertook an assessment of refugees from South Sudan in the sites of Biringi (Ituri province), Bele and Meri (Haut Uélé province) in the Democratic Republic of the Congo (DRC). The objective of the assessment was to update the basic knowledge on the humanitarian needs of the whole South Sudanese refugee population in these sites to inform programmatic decisions and assess the relevance of a harmonized humanitarian targetting strategy based on level of vulnerability.
The assessment was carried out jointly by UNHCR and WFP. All refugee households in all sites were interviewed, consisting of 8,630 households. This dataset represents an anonymous version of the original dataset. A 20% random sample of the original dataset was drawn as part of the anonymization. The sample was stratified by site (Mele, Beri and Biringi). The variable survey_weight provide the final weights.
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Burkina Faso: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Guinea: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Liberia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
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TThe world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Gabon: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Congo: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
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There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
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The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Zimbabwe: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
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There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Italy: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
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The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Moldova: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
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The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Hungary: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).
The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Poland: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).