Allocations to Ghana from the UN Central Emergency Response Fund: the emergency, the sector, the agency receiving the money and the amount, by year. Sourced from UN Central Emergency Response Fund, via HDX (CC BY-IGO). 14 records.
The newest figures in this dataset are from 2012; the source has published nothing newer. Check the dates before relying on a figure.
Every column this dataset returns, with its type. This is the shape of the API response.
| Field | Type |
|---|---|
| table_name | TEXT |
| project_id | INTEGER |
| agency_name | TEXT |
| continent_name | TEXT |
| date_usgsignature | DATE |
| emergency_type_name | TEXT |
| project_code | TEXT |
| project_title | TEXT |
| region_name | TEXT |
| total_amount_approved | DECIMAL(24,6) |
| window_full_name | TEXT |
| year | INTEGER |
| projectsectors | TEXT |
| projectclusters | TEXT |
| source | TEXT |
| table nameTEXT | project idINTEGER | agency nameTEXT | continent nameTEXT | date usgsignatureDATE | emergency type nameTEXT | project codeTEXT | project titleTEXT | region nameTEXT | total amount approvedDECIMAL(24,6) | window full nameTEXT | yearINTEGER | projectsectorsTEXT | projectclustersTEXT | sourceTEXT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| M | 814 | Food and Agriculture Organization | Africa | 2007-10-26 | Storm | 07-FAO-050 | Emergency Supply Of Fertilizers For Floods Affected Farmers In Northern Ghana | Western Africa | 252413 | Rapid Response | 2007 | Agriculture | Agriculture | UN Central Emergency Response Fund, via HDX (CC BY-IGO) |
| M | 822 | United Nations Population Fund | Africa | 2007-10-26 | Storm | 07-FPA-029 | Comprehensive Health Sector Support for flood victims in the three Northern regions of Ghana (Upper East, Upper West, Northern) and parts of Western and Volta Regions | Western Africa | 259871 | Rapid Response | 2007 | Health | Health | UN Central Emergency Response Fund, via HDX (CC BY-IGO) |
| M | 823 | World Food Programme | Africa | 2007-09-26 | Storm | 07-WFP-062 | Assistance to Populations Displaced by Floods in the three Northern regions of Ghana | Western Africa | 1499950 | Rapid Response | 2007 | Food Assistance | Food Assistance | UN Central Emergency Response Fund, via HDX (CC BY-IGO) |
| M | 825 | United Nations Children’s Fund | Africa | 2007-09-26 | Storm | 07-CEF-076-A | Assistance to flood victims in the Republic of Ghana | Western Africa | 235756 | Rapid Response | 2007 | Water, Sanitation and Hygiene | Water, Sanitation and Hygiene | UN Central Emergency Response Fund, via HDX (CC BY-IGO) |
| M | 826 | United Nations Children’s Fund | Africa | 2007-09-26 | Storm | 07-CEF-076-B | Comprehensive Health Sector Support for flood victims in the three Northern regions of Ghana (Upper East, Upper West, Northern) and parts of Western and Volta Regions | Western Africa | 168201 | Rapid Response | 2007 | Health | Health | UN Central Emergency Response Fund, via HDX (CC BY-IGO) |
9 more rows — see the plans
See the plansGET connect.apighana.com/api/data/emergency_fund_allocations
Cite this dataset and the organisation its records come from (UN Central Emergency Response Fund, via HDX). Datasets are updated, so keep the date you accessed it in the citation. These records cover 2007 to 2012; say which period your figures come from. Last updated from the source on Sep 18, 2026.
API Ghana. (2026). Emergency fund allocations (Version 1.0) [Data set, compiled from UN Central Emergency Response Fund, via HDX]. Retrieved October 1, 2026, from https://apighana.com/datasets/emergency-fund-allocations
curl "https://connect.apighana.com/api/data/emergency_fund_allocations?page=1&limit=20" \ -H "X-API-Key: $APIGHANA_KEY"
const response = await fetch(
"https://connect.apighana.com/api/data/emergency_fund_allocations?page=1&limit=20",
{ headers: { "X-API-Key": process.env.APIGHANA_KEY } },
);
const { data, meta } = await response.json();import os, requests
response = requests.get(
"https://connect.apighana.com/api/data/emergency_fund_allocations",
headers={"X-API-Key": os.environ["APIGHANA_KEY"]},
params={"page": 1, "limit": 20},
)
rows = response.json()["data"]