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Brazil: Rainfall Indicators at Subnational Level

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Viet Nam: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Yemen: Rainfall Indicators at Subnational Level

WFP - World Food Programme

2000+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Zimbabwe: Rainfall Indicators at Subnational Level

WFP - World Food Programme

400+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Madagascar: Rainfall Indicators at Subnational Level

WFP - World Food Programme

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Venezuela (Bolivarian Republic of): Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Seychelles: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

South Africa: Rainfall Indicators at Subnational Level

WFP - World Food Programme

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Nigeria: Rainfall Indicators at Subnational Level

WFP - World Food Programme

1200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Solomon Islands: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Malawi: Rainfall Indicators at Subnational Level

WFP - World Food Programme

500+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Romania: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Lebanon: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Tonga: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Namibia: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Haiti: Rainfall Indicators at Subnational Level

WFP - World Food Programme

300+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Uruguay: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Kyrgyzstan: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Eswatini: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Sri Lanka: Rainfall Indicators at Subnational Level

WFP - World Food Programme

400+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Vanuatu: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Gambia: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Rwanda: Rainfall Indicators at Subnational Level

WFP - World Food Programme

200+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Equatorial Guinea: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV

Oman: Rainfall Indicators at Subnational Level

WFP - World Food Programme

100+ Downloads

Time Period of the Dataset [?]: January 01, 1981-June 10, 2025 ... More

This dataset updates: Every two weeks

This dataset is part of the data series [?]: WFP - Rainfall Indicators at Subnational Level

This dataset contains dekadal rainfall indicators, computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2 and the CHIRPS-GEFS short term rainfall forecasts, aggregated by subnational administrative units. Included indicators are (for each dekad): 10 day rainfall [mm] (rfh) rainfall 1-month rolling aggregation [mm] (r1h) rainfall 3-month rolling aggregation [mm] (r3h) rainfall long term average [mm] (rfh_avg) rainfall 1-month rolling aggregation long term average [mm] (r1h_avg) rainfall 3-month rolling aggregation long term average [mm] (r3h_avg) rainfall anomaly [%] (rfq) rainfall 1-month anomaly [%] (r1q) rainfall 3-month anomaly [%] (r3q) The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn. Finally, the type column indicates if the value is based on a forecast, a preliminary or a final product. Please see the methodology section for more details.

CSV