China was the leading agricultural producer worldwide in 2023, with over a trillion international U.S. dollars. India ranked second, with an agricultural production value of *** billion international U.S. dollars. Ukraine's and Russia's production amounted to ***** and ***** billion international U.S. dollars, respectively. This makes these countries the **** and *** ranked agricultural producers by production value.

The average for 2022 based on 188 countries was 108.5 index points. The highest value was in Senegal: 189.9 index points and the lowest value was in Malta: 53.8 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

Brazil was the leading agricultural producer in Latin America and the Caribbean in 2023. With *** billion international U.S. dollars. Mexico ranked second with an agricultural production value of **** billion U.S. dollars. Argentina ranked third with about ** billion U.S. dollars.

Exports of agricultural products from the United States of America came to ******* billion U.S. dollars in 2022. The third-largest exporter of agricultural products was the Netherlands. This is likely due to the country's role as a major European shipping hub. Brazil exported agricultural products worth, ******** U.S. dollars.

The average for 2023 based on 176 countries was 9.8 percent. The highest value was in the Comoros: 35.94 percent and the lowest value was in Malta: 0 percent. The indicator is available from 1960 to 2024. Below is a chart for all countries where data are available.

As of 2023, Niger registered the agricultural sector's highest contribution to the GDP in Africa, at over ** percent. Comoros and Ethiopia followed, with agriculture, forestry, and fishing accounting for approximately ** percent and ** percent of the GDP, respectively. On the other hand, Botswana, Djibouti, Libya, Zambia, and South Africa were the African countries with the lowest percentage of the GDP generated by the agricultural sector. Agriculture remains a pillar of Africa’s economy Despite the significant variations across countries, agriculture is a key sector in Africa. In 2022, it represented around ** percent of Sub-Saharan Africa’s GDP, growing by over *** percentage points compared to 2011. The agricultural industry also strongly contributes to the continent’s job market. The number of people employed in the primary sector in Africa grew from around *** million in 2011 to *** million in 2021. In proportion, agriculture employed approximately ** percent of Africa’s working population in 2021. Agricultural activities attracted a large share of the labor force in Central, East, and West Africa, which registered percentages over the regional average. On the other hand, North Africa recorded the lowest share of employment in agriculture, as the regional economy relies significantly on the industrial and service sectors. Cereals are among the most produced crops Sudan and South Africa are the African countries with the largest agricultural areas. Respectively, they devote around *** million and **** million hectares of land to growing crops. Agricultural production varies significantly across African countries in terms of products and volume. Cereals such as rice, corn, and wheat are among the main crops on the continent, also representing a staple in most countries. The leading cereal producers are Ethiopia, Nigeria, Egypt, and South Africa. Together, they recorded a cereal output of almost *** million metric tons in 2021. Additionally, rice production was concentrated in Nigeria, Egypt, Madagascar, and Tanzania.

The average for 2022 based on 176 countries was 3866 kg per hectar. The highest value was in Saint Vincent and the Grenadines: 31621 kg per hectar and the lowest value was in Cape Verde: 12 kg per hectar. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

European Agricultural Output Production by Country, 2023 Discover more data with ReportLinker!

Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP). TFP is an indicator of how efficiently agricultural land, labor, capital, and materials (agricultural inputs) are used to produce a country’s crops and livestock (agricultural output)—it is calculated as the ratio of total agricultural output to total production inputs. When more output is produced from a constant amount of resources, meaning that resources are being used more efficiently, TFP increases. Measures of land and labor productivity—partial factor productivity (PFP) measures—are calculated as the ratio of total output to total agricultural area (land productivity) and to the number of economically active persons in agriculture (labor productivity). Because PFP measures are easy to estimate, they are often used to measure agricultural production performance. These measures normally show higher rates of growth than TFP, because growth in land and labor productivity can result not only from increases in TFP but also from a more intensive use of other inputs (such as fertilizer or machinery). Indicators of both TFP and PFP contribute to the understanding of agricultural systems needed for policy and investment decisions by enabling comparisons across time and across countries and regions. The data file provides estimates of IFPRI's TFP and PFP measures for developing countries for three-sub-periods between 1991 and 2014(1991-2000,2001-2010 and 2010-2014). These TFP and PFP estimates were generated using the most recent data from Economic Research Service of the United States Department of Agriculture (ERS-USDA), the FAOSTAT database of the Food and Agriculture Organization of the United Nations (FAO), and national statistical sources.

Global Agriculture Gross Output by Country, 2023 Discover more data with ReportLinker!

The average for 2022 based on 12 countries was 101.5 index points. The highest value was in Peru: 130.7 index points and the lowest value was in Paraguay: 74.8 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

The average for 2022 based on 20 countries was 106.4 index points. The highest value was in Dominican Republic: 136.2 index points and the lowest value was in Haiti: 72.1 index points. The indicator is available from 1961 to 2022. Below is a chart for all countries where data are available.

Increasing the efficiency of agricultural production—getting more output from the same amount of resources—is critical for improving food security. To measure the efficiency of agricultural systems, we use total factor productivity (TFP). TFP is an indicator of how efficiently agricultural land, labor, capital, and materials (agricultural inputs) are used to produce a country’s crops and livestock (agricultural output)—it is calculated as the ratio of total agricultural output to total production inputs. When more output is produced from a constant amount of resources, meaning that resources are being used more efficiently, TFP increases. Measures of land and labor productivity—partial factor productivity (PFP) measures—are calculated as the ratio of total output to total agricultural area (land productivity) and to the number of economically active persons in agriculture (labor productivity). Because PFP measures are easy to estimate, they are often used to measure agricultural production performance. These measures normally show higher rates of growth than TFP, because growth in land and labor productivity can result not only from increases in TFP but also from a more intensive use of other inputs (such as fertilizer or machinery). Indicators of both TFP and PFP contribute to the understanding of agricultural systems needed for policy and investment decisions by allowing for comparisons across time and across countries and regions. The data include estimates of TFP and land and labor productivity measures for developing countries and regions for three-sub-periods between 2000 and 2016. These use the most recent data on outputs and inputs from the Economic Research Service of the US Department of Agriculture (ERS-USDA), an internationally consistent and comparable dataset on production and input quantities built using data from the FAOSTAT database of the Food and Agriculture Organization of the United Nations (FAO), supplemented with data from national statistical sources (for more on data and methodology).

In 2023, imports of agricultural products to the U.S. amounted to around *** billion U.S. dollars. Mexico was the leading country of origin, representing nearly a quarter of the U.S. agricultural products imports. Canada was the second most important origin country, accounting for more than ** billion dollars worth of imports.

Global Agriculture Gross Production Share by Country (Thousand US Dollars PPP = 2004–2006), 2023 Discover more data with ReportLinker!

European Agricultural Services Production by Country, 2023 Discover more data with ReportLinker!

European Output of Agricultural Products and Livestock Share by Country (Million Euros), 2023 Discover more data with ReportLinker!

Abstract

Most people in Lao PDR live in rural areas and make their living from agriculture. The Government needs detailed and up-to-date statistics on agriculture to help develop the agricultural sector and improve the welfare of the people.

The Government already has statistics on the area and production of rice and other major crops, as well as livestock numbers. However, there is little information available on such things as: the different types of rice grown, the number of rice farmers, the area planted to minor crops, the use of different inputs, the use of farm machinery, farm size, farm labour, and the age/sex structure of livestock. The Lao Agricultural Census will provide these and many other data.

The Lao Agricultural Census is part of a world-wide programme of agricultural censuses, which started in the 1930’s. Over 120 countries are now participating in that programme; many of these undertake agricultural censuses every ten years. The Lao agricultural Census is the first such census undertaken in Lao PDR. It is being conducted in all 141 districts and is one of the largest and most important statistical collections ever undertaken in the country.

The census was developed based on the guidelines given in FAO Statistical Development Series No.5: Programme for the World Census of Agriculture 2000 (FAO 1996), taking into account the circumstances in Lao PDR. Extra emphasis was given to data on rice, because of its importance in Lao agriculture.

One of the keys to running an agricultural census is defining a suitable "farm" unit. In the Lao Agricultural Census, the farm unit used was the agricultural holding, defined as an economic unit of agricultural production under single management, comprising all livestock raised and all agricultural land operated, regardless of ownership. An agricultural holding is sometimes referred to as a "holding" or a "farm household".

Only household units were included in the census; that is, agricultural activities of businesses, government organisations, etc. were excluded. Usually, an agricultural holding is the same as a household, but sometimes it consists of two or more households operating as a partnership.

The Lao Agricultural Census covered only those units that either: - operated 0.02 ha or more of agricultural land in the 2010 wet season or the 2010/11 dry season; or - were raising 2 or more cattle or buffaloes, 5 or more pigs or goats, or 20 or more poultry at the time of the census.

An agricultural holding can be a land holding or a livestock holding. A land holding is one that operated 0.02 ha or more of agricultural land in 2010/11. A livestock holding is an agricultural holding that is not a land holding.

One of the interesting features of the agricultural sector as the market system develops is measuring the extent to which farmers participate in the market economy. In the census, information was collected for each agricultural holding on: - the main purpose of production on the holding in 2010/11; - whether, in 2010/11, any production by the holding was sold, whether any was exchanged for other produce, and whether any was used for home consumption.

Geographic coverage

National

Analysis unit

Agricultural holdings - Land holding - Livestock holding

Universe

The Lao Census of Agriculture 2010/11 covered the whole of Lao PDR, including urban areas in Vientiane and elsewhere. The census covered private households only. Agricultural activities of institutional units such as government farms, private companies and schools were excluded.

The Lao Agricultural Census covered only those units that either: - operated 0.02 ha or more of agricultural land in the 2010 wet season or the 2010/11 dry season; or - were raising 2 or more cattle or buffaloes, 5 or more pigs or goats, or 20 or more poultry at the time of the census.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The sample for the sample farm household component was selected using two-stage sampling: a sample of villages was first selected, and then a sample of farm households was selected in each sample village.

In most districts, a sample of between 16 and 22 villages was selected, with 16 farm households selected in each sample village; that is, a sample of between 256 and 352 sample farm households in each district. The more villages or farm households in a district, the bigger the sample that was taken. A smaller sample was taken in districts containing few villages or households and in urban areas.

In each district, the sample of villages was selected using stratified systematic probability proportional to size (PPS) sampling. A list of all villages in Lao PDR was prepared. Villages were divided into urban and rural strata, with rural strata being sampled more heavily than urban strata because of their agricultural importance. The estimated number of households in each village was used as the size measure for PPS sampling.

The sample of farm households in each sample village was selected using stratified systematic random sampling based on a list of all farm households in each village prepared following the household component of the census.

Altogether, 2,620 villages and 41,660 farm households formed the sample.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire has 4 forms: Form 1: Household listing Form 3: Village Form 4: Households (short) Form 5: Sample household (long)

Cleaning operations

Errors to be corrected during the data entry: "Fatal" error; that is, the data are wrong and should be corrected in the editing process (not during the data entry). "Query" error; that is, the data might be wrong and should be checked during the editing process (not during the data entry).

Sampling error estimates

Not computed

European Maintenance of Materials in Agriculture Production by Country, 2023 Discover more data with ReportLinker!

European Production Volumes of Agriculture, Hunting and Forestry by Country, 2023 Discover more data with ReportLinker!