This dataset is about countries per year in Bolivia. It has 64 rows. It features 4 columns: country, agricultural land, and methane emissions.

This dataset is about countries per year in Bolivia. It has 64 rows. It features 4 columns: country, agricultural land, and health expenditure.

Bolivia BO: Agricultural Irrigated Land: % of Total Agricultural Land data was reported at 0.789 % in 2017. Bolivia BO: Agricultural Irrigated Land: % of Total Agricultural Land data is updated yearly, averaging 0.789 % from Dec 2017 (Median) to 2017, with 1 observations. The data reached an all-time high of 0.789 % in 2017 and a record low of 0.789 % in 2017. Bolivia BO: Agricultural Irrigated Land: % of Total Agricultural Land data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Agricultural irrigated land refers to agricultural areas purposely provided with water, including land irrigated by controlled flooding.;Food and Agriculture Organization, electronic files and web site.;Weighted average;

This dataset is about countries per year in Bolivia. It has 64 rows. It features 4 columns: country, agricultural land, and incidence of HIV.

Bolivia BO: Agricultural Land data was reported at 381,193.672 sq km in 2021. This records an increase from the previous number of 380,076.741 sq km for 2020. Bolivia BO: Agricultural Land data is updated yearly, averaging 357,960.000 sq km from Dec 1961 (Median) to 2021, with 61 observations. The data reached an all-time high of 381,193.672 sq km in 2021 and a record low of 298,070.000 sq km in 1963. Bolivia BO: Agricultural Land data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Bolivia – Table BO.World Bank.WDI: Environmental: Land Use, Protected Areas and National Wealth. Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.;Food and Agriculture Organization, electronic files and web site.;Sum;

This dataset is about countries per year in Bolivia. It has 64 rows. It features 4 columns: country, agricultural land, and electricity production from oil sources.

This dataset is about countries per year in Bolivia. It has 64 rows. It features 4 columns: country, agricultural land, and electricity production from nuclear sources.

This data set contains 5-minute land use maps for agricultural activity in Amazonia. The data set was produced by the statistical fusion of agricultural census data from Brazil,Columbia, Bolivia, and Peru with the land cover data product from the Global Land Cover Facility. These land use maps indicate the estimated total amount of cropland and pasture (natural and planted) for the Amazon and Tocantins River basins in 1995 and 1980 and are suitable for use in models or other similar purposes. Data are provided in the netCDF format and the ARC/INFO GRID ASCII format.

The 1995 data were generated from a fusion of agricultural census data and a satellite classification, and are described in Cardille, Foley, and Costa (2002). The fusion technique merges agricultural census data from Brazil, Columbia, Peru, and Bolivia with land cover data from the University of Maryland Global Land Cover Facility 1-km classification. This technique was used to derive an estimate of the mid-1990s total agriculture surface for the region, which was then apportioned according to agriculture census data into cultivated area, natural pasture, and planted pasture.

The 1980 maps, including only the Brazilian portion of the Amazon/Tocantins river drainage basins, were created by scaling the mid-1990s snapshots backward in time using the relative increase or decrease in agriculture, as derived from mid-1980s census data and United Nations Food and Agriculture Organization (FAO) data (Cardille and Foley, 2003).

Deforestation data sets are provided by the Deforestation Mapping Group (DMG) of the Global Land Cover Facility at the University of Maryland. Originally funded by the NASA Landsat Pathfinder Humid Tropical Deforestation Project as a collaborative effort between the University of Maryland at College Park's Geography Department, The University of New Hampshire's Complex Systems Research Group, and NASA Goddard Space Flight Center's GIMMS Group, the goal of this work involves the mapping of global deforestation for the humid tropics using data sets from both Landsat TM (Thematic Mapper) and ETM+ (Enhanced Thematic Mapper Plus) for the 1980s and 1990s. The project focused on the three regions where the majority of global tropical deforestation has ocurred: Amazon Basin, Central Africa, and Southeast Asia. The data sets consist of Landsat TM and ETM+ spectral bands from the same WRS path and row tile for multiple dates co-registered to one another. The forest cover classes are as follows: (1) Forest -- Tree cover presumed to be > 40% crown closure; (2) Degraded Forest -- Forested areas that are undergoing thinning for agriculture or selective logging or regenerating after clear cuts and may include plantations; (3) Nonforest -- Includes non-woody cover types, open woodlands and brush lands, permanent agriculture, swamps; (4) Water; (5) Cloud -- Sometimes includes cloud shadow; and (6) Shadow (from terrain or clouds). Current forest cover data sets include country products for Bolivia, Peru, Colombia, Ecuador, and Democratic Republic of Congo, and time series products for Pan-Amazon (non-Brazilian) deforestation, other Pan-Amazon areas of interest, and Central Africa Region.