Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

For the 70 percent of the world's poor who live in rural areas, agriculture is the main source of income and employment. But depletion and degradation of land and water pose serious challenges to producing enough food and other agricultural products to sustain livelihoods here and meet the needs of urban populations. Data presented here include measures of agricultural inputs, outputs, and productivity compiled by the UN's Food and Agriculture Organization.

Forecast: Share of MPS Commodities in Total Value of Agricultural Production in China 2024 - 2028 Discover more data with ReportLinker!

This data set records the statistical data of the total agricultural output value and growth rate and ranking (2001-2018) of all regions in China, and the data are divided by year. The data are collected from the statistical yearbook of Qinghai Province issued by the Bureau of statistics of Qinghai Province. Each data set contains 17 tables with the same data structure. For example, the data table in 2018 has four fields: Field 1: Region Field 2: total output value of agriculture, forestry, animal husbandry and fishery Field 3: agricultural output value Field 4: output value of animal husbandry

This dataset is about countries per year and is filtered where the country includes China, featuring 5 columns: agricultural land, alternative and nuclear energy, armed forces personnel, birth rate, and military expenditure. The preview is ordered by date (descending).

Forecast: Share of Budgetary Expenditure on Promotion of Agricultural Products in China 2024 - 2028 Discover more data with ReportLinker!

China GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data was reported at 7.300 % in 2022. This records an increase from the previous number of 7.241 % for 2021. China GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data is updated yearly, averaging 23.175 % from Dec 1960 (Median) to 2022, with 63 observations. The data reached an all-time high of 41.643 % in 1968 and a record low of 7.043 % in 2018. China GDP: % of GDP: Gross Value Added: Agriculture, Forestry, and Fishing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s China – Table CN.World Bank.WDI: Gross Domestic Product: Share of GDP. Agriculture, forestry, and fishing corresponds to ISIC divisions 1-3 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 4. Note: For VAB countries, gross value added at factor cost is used as the denominator.;World Bank national accounts data, and OECD National Accounts data files.;Weighted average;Note: Data for OECD countries are based on ISIC, revision 4.

This dataset is about countries per year and is filtered where the country includes China, featuring 4 columns: agricultural land, alternative and nuclear energy, armed forces personnel, and birth rate. The preview is ordered by date (descending).

This dataset is about countries per year and is filtered where the country includes China. It has 5 columns: agricultural land, alternative and nuclear energy, armed forces personnel, birth rate, and unemployment. The data is ordered by date (descending).

This dataset provides information on key economic indicators, agricultural output and inputs, public investments, poverty, and various social indicators in China. Cross-section (29 provinces) and time-series (50 years from 1952 to 2001) data are included in this dataset.

The dataset consists of 50 variables altogether, including agricultural and nonagricultural GDP, agricultural labor, agricultural output, agricultural population, arable land, share of rural population with colleg e education, total telecommunication expenditures (rural and urban), draft animals, education expenditures, rural electricity consumption, total expenditures in electricity construction, fertilizer use in pure nutrients, rural illiteracy rate, machinery use, official rural poverty rates, rural education expenditures, agricultural research expenditures, road construction expenditures, rural telephones, etc.

Level of high-quality development of animal husbandry industry in 30 provinces in China, 2010–2022.

Selection of main agricultural production materials and processes and carbon emission factors.