Economy data
＋ Follow new data1,055 datasets.
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Source: Environment, Forest and Climate Change (EFCC) and Country Investment Plan (CIP) The EFCC-CIP responds to the urgent need to address environmental degradation and to improve the country’s ability to meet the threats posed by climate change. **Data publication:** 2018-01-01 **Contact points:** Metadata Contact: [Matieu Henry](mailto:Matieu.Henry@fao.org) **Data lineage:** Data quality information not available **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Bangladesh Country Investment Plan (CIP) for Environment, Forestry and Climate Change (EFCC) Bangladesh Forest Department BFIS e-Multimedia/FAO/USAID video on Bangladesh Country Investment Plan (CIP) for Environment, Forestry and Climate Change (EFCC)
Major cities demand dataset is modelled as raster-based travel time/cost analysis and weighted using the population/market size dimension as a measure of demand. Individual cumulative travel time/cost maps were produced for the country’s 10 largest cities (>200k habitants). The final market/demand layer consists of an arithmetic weighted sum of normalized (0-100) city accessibility grids. The following values were assumed for major cities population of Tanzania: City - Population - Weight % Dar es Salaam - 4,364,541 - 0.579 Mwanza - 706,453 - 0.094 Zanzibar - 501,459 - 0.067 Arusha - 416,442 - 0.055 Mbeya - 385,279 - 0.051 Morogoro - 305,840 - 0.041 Tanga - 221,127 - 0.029 Kigoma - 215,458 - 0.029 Dodoma - 213,636 - 0.028 Songea - 203,309 - 0.027 This 1km resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for road, railways, cities; GAUL country border; FAO Inland Waters in Africa; FAO Major Rivers in Africa; Population major cities **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Tanzania major cities demand.
regional cities demand dataset is modelled as raster-based travel time/cost analysis and weighted using the population/market size dimension as a measure of demand. Individual cumulative travel time/cost maps were produced for major regional cities (>250k habitants) less than 500 km from the border. The final market/demand layer consists of an arithmetic weighted sum of the normalized (0-100) city accessibility grids. The following values were assumed: City - Country - Population - Weight % Nairobi - KEN - 4,397,073 - 0.277 Kampala - UGA - 2,094,000 - 0.132 Mombasa - KEN - 1,208,333 - 0.076 Lilongwe - MWI - 1,055,700 - 0.067 Kigali - RWA - 859,332 - 0.054 Blantyre - MWI - 830,100 - 0.052 Nampula - MOZ - 663,212 - 0.042 This 1km resolution raster dataset is part of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis (GIS-MCDA) aimed at the identification of value chain infrastructure sites (optimal location). **Data publication:** 2021-11-01 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Nelson Ribeiro](mailto:Nelson.RosasRibeiroFilho@fao.org) **Data lineage:** lineage statement Produced using OpenStreetMap data for road, railways, cities; GAUL country border; FAO Inland Waters in Africa; FAO Major Rivers in Africa; Population major cities **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** Zipped raster TIF file for Tanzania regional cities demand
Polygon features representing electoral districts, with attributes for district name, county, total and diversity of marine related businesses. Published by the Department of Climate, Energy and the Environment and covering Ireland.
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Records a graphical representation of interventions by municipality, published by Regione Umbria's SIAT. Coverage is in Italy.
Locations of markets and trading centres in Ethiopia. Includes food markets, commodity markets and informal trading points. Use this layer for economic analysis, food security assessment, supply chain mapping, market access studies, and trade route planning.
This dataset contains property and rating information for the 2026/2027 rating year within Upper Hutt City, based on records held by Upper Hutt City Council as at April 2026. The 2026/2027 data provided is indicative only and subject to change. The dataset represents a static snapshot of information at the time of its creation and is not intended to be updated. This dataset may be removed without notice. The data is provided for general reference purposes only and Upper Hutt City Council makes no guarantees regarding the accuracy, completeness, currency or reliability of the information. For current or authoritative property and rating information, please contact the UHCC Rates Team.
Rappresentazione grafica del costo totale degli interventi (UE+STATO + Altri Enti + Privato) per tipologia , in valore assoluto e riferiti alla localizzazione sul centroide della strada (Fonte dati : Sistema Ecografico Catastale - Regione Umbria integrato con le mappe di Google Earth, Google Maps e Bing). La consultazione dati è consigliata dalla scala 1:20.000.
Fonte: Banca dati territoriale del “Sistema produttivo regionale” con rappresentazione dei Settori produttivi e divisioni Ateco (NACE Rev.2). Rifer. ISTAT - Raccordo fra le classi dei settori produttivi e le divisioni Ateco (Nace Rev.2)
Banca dati dei siti industriali dismessi su base Ortofoto digitale Terraitaly IT 2005 (scala 1:10.000), implementata attraverso le zonizzazioni di PRG e informazioni di tipo alfanumerico di natura dimensionale, economico-produttiva, anagrafica, ambientale). Fontedati:Indagine della Regione Umbria nel periodo gennaio-ottobre 2009 (integrazioni e aggiornamento maggio 2012).
Data has been updated to include agency budget code, name, and acronym attributes. Budget codes were used to assign the agency name and acronym to each record. Agencies that share the same budget code, such as those under the Executive Office of the Mayor, were left blank in PASS records. For questions regarding details within the data, contact the Office of Contracting and Procurement at https://contracts.ocp.dc.gov/contact.
Wirtschaft und Gewerbe für das Gebiet des Landkreises ChamDieser Datensatz ist ein Toplayer (thematische Sammlung) und enthält verschiedene Sublayer (Themen) mit Geodaten zu Aufgabenbereichen der Verwaltung für die Belange von Wirtschaft und Gewerbe im Landkreis Cham. Verfügbar sind verschiedene Daten-Formate und -Dienste, wie Shape, GeoJSON, CSV, KML oder ArcGIS REST-Web-Service. Der Landkreis Cham übernimmt keinerlei Haftung für eventuelle Mängel an Inhalt und Richtigkeit der angebotenen Daten. Aus den Inhalten können Rechtsansprüche weder begründet noch abgeleitet werden.
Frequência de atualização: Mensal Dados extraídas da base do Imposto Sobre Serviços de Qualquer Natureza (ISSQN) - Estabelecimentos Abertos por Logradouro, Bairros e Grupos de Atividade, segundo o Ano de Concessão.
Fonte: Banca dati territoriale del “Sistema produttivo regionale” con rappresentazione dei Settori produttivi e divisioni Ateco (NACE Rev.2). Rifer. ISTAT - Raccordo fra le classi dei settori produttivi e le divisioni Ateco (Nace Rev.2)
Localizzazione dei Progetti del POR FESR 2014-2020 rappresentati per tipologia di localizzazione strumenti finanziari. Fonte dati: Sistema Informativo di Monitoraggio e Gestione dei progetti attivati nell'ambito del POR FESR - Regione UMBRIA
Aid to enterprises under the POR FESR 2014-2020 programme, published by Regione Umbria SIAT as a feature layer.
Records financial instruments under the POR FESR 2014-2020 programme, published by Regione Umbria. Each feature represents a financial instrument. Covers Italy.
Localizzazione dei Progetti del POR FESR 2014-2020 rappresentati per tipologia di localizzazione aiuti alle imprese. Fonte dati: Sistema Informativo di Monitoraggio e Gestione dei progetti attivati nell'ambito del POR FESR - Regione UMBRIA
Rappresentazione grafico interventi - finanziamenti POR-FESR 2007-2013
This entity describes a location at which a consent applies for the treatment of industrial waste water or stormwater prior to dispersal into the stormwater or wastewater network. Trade waste is the commercial and industrial liquid waste that is disposed of through the Christchurch City Council sewerage system. This includes discharge from restaurants, takeaway outlets, food processors, metal finishers, service stations, and chemical manufacturers. Trade waste does not include wastewater from toilets or bathrooms. It is spatially abstracted to an area.
Produced as part of the Galway County Development Plan 2022-2028. Galway County Council provides this information with the understanding that it is not guaranteed to be accurate, correct, or complete. Galway County Council accepts no liability for any loss or damage suffered by those using this data for any purpose.
Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT
Enterprise Parks and Industrial Estates in Galway City
Feature layer concerning the purchase of goods and services under the POR FESR 2014-2020 programme, published by Regione Umbria's SIAT and categorized under economy and finance.
Frequência de atualização: Mensal (por motivos ligados à limpreza da base de dados bruta do ITBI, a partir de junho de 2026 os dados desta tabela não contém os registros do último mês). Foram considerados o número total de transações no ano, para as Naturezas de Compra e Venda e de Promessa de Compra e venda, as médias de área territorial, as médias de percentual do imóvel transacionado, a média do valor da transação e a média dos valores totais do imóvel, apurado pela relação entre o percentual transacionado e o valor da transação. Não estão contabilizadas as demais Naturezas de Transações, não tendo esta tabela o total de Transações imobiliárias. Porém este total perfaz valor acima de 95% do total das Transações.