The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urban areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban areas of at least 10,000 population but less than 50,000 population. The generalized boundaries in this file are based on those defined by OMB based on the 2020 Census and published in 2023.
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Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year
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Land area (sq. km) in Tonga was reported at 720 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Tonga - Land area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
In 2024, the area cultivated with agave mezcalero, that is, agave for mezcal, in Mexico reached over ****** hectares. About ****** were located in the state of Oaxaca. Ranking second was the state of Guanajuato, with over ***** hectares cultivated with agave. For contrast, only about ***** hectares were harvested in the whole country in the same year. Agave needs between *** and eight years to fully mature, after which it can be harvested. That year, Oaxaca produced about ******* metric tons of agave mezcalero.
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Land area (sq. km) in Germany was reported at 349360 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Germany - Land area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
In 2024, the area destined for wine-growing in Argentina amounted to ******* hectares. This represents a decrease of two percent compared to the previous year. Argentina was the among the largest wine producers in the world that year.
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Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year
The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation. The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2024 election year and provided by state-level participants through the RDP.
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Forest area (% of land area) in India was reported at 24.45 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Forest area (% of land area) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
In 2024, the total aquaculture area resources in China amounted to around **** million hectares, down by **** percent from the previous year. The total aquaculture area resources in China have increased again after hitting a low point in 2021.
This statistic shows the U.S. states with the largest areas of planted and harvested rice in 2024. In that year, Louisiana planted *** thousand acres of rice and harvested *** thousand acres. Arkansas planted the most rice, with about *** million acres.
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Surface area (sq. km) in Peru was reported at 1285220 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Peru - Surface area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year
In 2024, the area of coffee cherry cultivated in Mexico amounted to approximately ******* hectares. This represents a decrease of *** percent compared to the previous year. Mexico is among the largest coffee producers in Latin America.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year
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**Terauds, A., Wauchope, H. S., Wen, W., Lee, J. R. (2024) Antarctic Specially Protected Areas (Points and Polygons) 2024 Update, Ver. 1, _Australian Antarctic Data Centre**_** - **doi:10.26179/4qk0-cz71
This is the 2024 data update.
Starting with the most recently updated polygon shapefile of ASPAs (Terauds and Lee 2016), which contained some minor improvement on the original ASPA spatial layer first made publicly available in 2011, we first cross-checked the location of ASPA polygons with the spatially explicit locations provided in the ASPAs Management Plans. Once polygons were aligned with the Management Plans, we then georeferenced the maps provided in the management plans to check the ASPA boundaries in relation to known landscape features, In some cases, there was a lack of concurrence between co-ordinates, PDF map, coastline, rock layer or Google Earth. In these cases the following protocol was followed: snap to coordinates (unless clearly wrong), otherwise align to rock outcrop layer based on the PDF map, otherwise align to coastline.
Please follow instructions listed in the citation reference provided at
http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4296_Updated_ASPAs_2018 when using these data.
ID: 5998
Metadata ID: AAS\_4296\_Updated\_ASPAs\_2024
UUID: b4c92f68-64c3-476d-97eb-d439360415b9
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Permanent cropland (% of land area) in Mexico was reported at 1.5042 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Permanent cropland (% of land area) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.
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Forest area (% of land area) in Saint Martin was reported at 24.8 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Saint Martin - Forest area (% of land area) - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Forest area (% of land area) in Tuvalu was reported at 33.33 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Tuvalu - Forest area (% of land area) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Forest area (sq. km) in Paraguay was reported at 155436 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Paraguay - Forest area (sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.
The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. Metropolitan and Micropolitan Statistical Areas are together termed Core Based Statistical Areas (CBSAs) and are defined by the Office of Management and Budget (OMB) and consist of the county or counties or equivalent entities associated with at least one urban core of at least 10,000 population, plus adjacent counties having a high degree of social and economic integration with the core as measured through commuting ties with the counties containing the core. Categories of CBSAs are: Metropolitan Statistical Areas, based on urban areas of 50,000 or more population; and Micropolitan Statistical Areas, based on urban areas of at least 10,000 population but less than 50,000 population. The generalized boundaries in this file are based on those defined by OMB based on the 2020 Census and published in 2023.