Place Labels

The "Major Cities" layer is derived from the "World Cities" dataset provided by ArcGIS Data and Maps group as part of the global data layers made available for public use. "Major cities" layer specifically contains National and Provincial capitals that have the highest population within their respective country. Cities were filtered based on the STATUS (“National capital”, “National and provincial capital”, “Provincial capital”, “National capital and provincial capital enclave”, and “Other”). Majority of these cities within larger countries have been filtered at the highest levels of POP_CLASS (“5,000,000 and greater” and “1,000,000 to 4,999,999”). However, China for example, was filtered with cities over 11 million people due to many highly populated cities. Population approximations are sourced from US Census and UN Data. Disclaimer: The designations employed and the presentation of material at this site do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. **Data publication:** 2021-03-12 **Citation:** Credits: ESRI, CIA World Factbook, GMI, NIMA, UN Data, UN Habitat, US Census Bureau **Contact points:** Resource Contact: [ESRI - ArcGIS Data and Maps](mailto:support@esri.ca) Metadata Contact: [Justeen De Ocampo](mailto:justeen.deocampo@fao.org) **Data lineage:** lineage **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International license (CC-BY 4.0) **Online resources:** World Cities layer from ArcGIS Data & Maps ArcGIS Data and Maps group background and available datasets.

The administrative boundaries dataset at level 1 (Sub-national level) is part of the Global Administrative Unit Layers (GAUL 2024) dataset series which includes information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The administrative boundaries at the level 1 dataset distinguishes States, Provinces, Departments and equivalent. The GAUL maintains global layers with a unified coding system at country, first (e.g. departments), and second administrative levels (e.g. districts). The complete metadata reference for each country, along with the specific license or Terms of Use applicable at the country level, can be accessed **here**. **Data publication:** 2024-12-19 **Citation:** FAO. 2024. Global Administrative Unit Layers (GAUL). [Accessed on [DD Month YYYY]]. https://data.apps.fao.org/?lang=en. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [FAO-Data](mailto:FAO-Data@fao.org) Metadata Contact: [FAO-Data](mailto:FAO-Data@fao.org) **Data lineage:** The overall GAUL methodology consists in a) collecting the best available data from most reliable sources, b) assemble national datasets into a common dataset by matching international boundaries with a reference authoritative dataset, i.e. the UN 2018, c) standardizing attributes to a common table of attributes, d) generating codes using GAUL Coding System, e) applying a topology and f) fill the metadata for each country. Detailed technical documentation is available **here**. **Resource constraints:** This work is made available under the Creative Commons Attribution-4.0 International license (**CC BY 4.0**). IMPORTANT – Read carefully the **Terms of Use** before using the digital data. By downloading the Global Administrative Unit Layers (GAUL) 2024 you agree to be bound by the terms and conditions contained in this document. **Online resources:** Download the data from the Google bucket GAUL 2024 Terms of Use GAUL 2024 L1 Metadata GAUL 2024 L1 ChangeLog GAUL L0 Codes 2024 - 2014 GAUL 2024 Technical Guidelines

This dataset contains label points for incorporated places in the United States, published by the US Census Bureau. Each feature represents an incorporated place and includes its name, such as 'San Fernando', along with population and housing unit counts.

Global country boundary polygons at 1:10 million scale from Natural Earth, showing de facto boundaries based on who controls the territory. Includes country name, ISO codes, population, GDP, and continent attributes. Use this layer for global thematic mapping, international comparisons, political geography analysis, and as a reference base for world maps. No additional information provided.

Point locations at the centre of each administrative unit in Mozambique, including place names and administrative codes. Use this layer for labelling maps, geocoding, and location-based services.

This layer shows the different administrative boundaries (levels: 1) used in the UNHCR GIS system. It is mostly from governments and official sources but also other UN bodies or NGOs. The OCHA CODs and Pcodes are examined and considered. The boundaries and names do not imply official endorsement or acceptance by the United Nations.