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\nIt enables meaningful cross-country and time-series comparisons of the efficiency with which land, labor, and capital are used in agriculture.\n\n### Data Overview\nThe dataset compiles agricultural productivity and input-use statistics from multiple sources:\n\n- Primary source: USDA\u2019s *International Agricultural Productivity (IAP)* dataset, developed by the Economic Research Service (ERS)  \n- Computed indicators: Hicks-Moorsteen, Fare-Primont, and Lowe TFP indices, derived from the same USDA data  \n- Baseline: All indices are normalized to 2015 = 100 for comparability  \n\nThese harmonized measures help evaluate trends in agricultural productivity data over time and across economies.\n\n### Indicators Included\nThe dataset contains multiple Total Factor Productivity (TFP) indices and disaggregated input indices for:\n\n- Labor  \n- Land  \n- Capital  \n- Materials  \n- Machinery  \n- Livestock  \n- Fertilizers  \n- Feed  \n\nEach variable is expressed in standardized units such as 1,000 hectares, 1,000 metric horsepower, or megacalories (Mcal) of metabolizable energy, all presented in constant 2015 prices or physical equivalents.\n\n### What Makes This Dataset Unique\n- Comprehensive coverage: Tracks agricultural inputs and outputs across multiple factors and regions  \n- Comparability: Consistent methodologies allow valid cross-country benchmarking  \n- Transparency: Each record includes an updated_at timestamp for traceability  \n- Policy relevance: Designed for use by researchers, policymakers, and development practitioners to assess productivity growth, input efficiency, and structural changes in agriculture  \n\n### Example Uses\n- Measuring productivity growth in Latin America\u2019s agricultural sector  \n- Comparing resource-use efficiency across regions and income groups  \n- Identifying long-term shifts in input intensity and output composition  \n- Supporting evidence-based agriculture productivity data analysis for sustainable policy design", "es": "Este conjunto de datos re\u00fane datos de productividad agr\u00edcola armonizados y al d\u00eda para un amplio grupo de pa\u00edses, con estad\u00edsticas anuales referidas a la producci\u00f3n agr\u00edcola, el empleo de insumos y la productividad total de los factores (PTF).  \nGracias a ello es posible contrastar, tanto entre pa\u00edses como en el tiempo, con qu\u00e9 eficiencia la agricultura aprovecha la tierra, el trabajo y el capital.\n\n### Descripci\u00f3n general de los datos\nLa informaci\u00f3n integra estad\u00edsticas de productividad y de uso de insumos procedentes de varias fuentes:\n\n- Fuente primaria: el conjunto de datos *International Agricultural Productivity (IAP)* del USDA, elaborado por el Economic Research Service (ERS)  \n- Indicadores calculados: los \u00edndices de PTF Hicks-Moorsteen, Fare-Primont y Lowe, obtenidos a partir de esos mismos datos del USDA  \n- L\u00ednea base: la totalidad de los \u00edndices se fija en 2015 = 100 para garantizar la comparabilidad  \n\nEstas mediciones homog\u00e9neas facilitan el seguimiento de las tendencias de la productividad agr\u00edcola con el paso de los a\u00f1os y entre distintas econom\u00edas.\n\n### Indicadores incluidos\nEl conjunto de datos abarca numerosos \u00edndices de productividad total de los factores (PTF) junto con \u00edndices de insumos desglosados por:\n\n- Trabajo  \n- Tierra  \n- Capital  \n- Materiales  \n- Maquinaria  \n- Ganado  \n- Fertilizantes  \n- Alimento para ganado  \n\nCada variable aparece en unidades estandarizadas, como 1.000 hect\u00e1reas, 1.000 caballos de fuerza m\u00e9tricos o megacalor\u00edas (Mcal) de energ\u00eda metabolizable, expresadas siempre en precios constantes de 2015 o en equivalentes f\u00edsicos.\n\n### Qu\u00e9 hace \u00fanico a este conjunto de datos\n- Cobertura integral: sigue de cerca insumos y productos agr\u00edcolas a lo largo de numerosos factores y regiones  \n- Comparabilidad: unas metodolog\u00edas uniformes hacen posible una evaluaci\u00f3n comparativa fiable entre pa\u00edses  \n- Transparencia: cada registro lleva una marca de tiempo updated_at que asegura su trazabilidad  \n- Relevancia para las pol\u00edticas: pensado para que investigadores, responsables de pol\u00edticas y profesionales del desarrollo examinen el crecimiento de la productividad, la eficiencia de los insumos y los cambios estructurales del agro  \n\n### Ejemplos de uso\n- Cuantificar el avance de la productividad en el sector agr\u00edcola de Am\u00e9rica Latina  \n- Cotejar la eficiencia en el uso de recursos entre regiones y grupos de ingresos  \n- Detectar variaciones de largo plazo en la intensidad de los insumos y la composici\u00f3n de la producci\u00f3n  \n- Sustentar an\u00e1lisis de datos de productividad agr\u00edcola basados en evidencia para dise\u00f1ar pol\u00edticas sostenibles", "fr": "Ce jeu de donn\u00e9es rassemble des donn\u00e9es de productivit\u00e9 agricole harmonis\u00e9es et actualis\u00e9es pour un large ensemble de pays, accompagn\u00e9es de statistiques annuelles portant sur la production agricole, le recours aux intrants et la productivit\u00e9 totale des facteurs (PTF).  \nIl rend ainsi possibles des comparaisons utiles, d'un pays \u00e0 l'autre comme dans la dur\u00e9e, du degr\u00e9 d'efficacit\u00e9 avec lequel l'agriculture mobilise la terre, le travail et le capital.\n\n### Aper\u00e7u des donn\u00e9es\nL'ensemble r\u00e9unit des statistiques de productivit\u00e9 et de consommation d'intrants issues de plusieurs sources :\n\n- Source primaire : le jeu de donn\u00e9es *International Agricultural Productivity (IAP)* de l'USDA, \u00e9labor\u00e9 par l'Economic Research Service (ERS)  \n- Indicateurs calcul\u00e9s : les indices de PTF Hicks-Moorsteen, Fare-Primont et Lowe, \u00e9tablis \u00e0 partir de ces m\u00eames donn\u00e9es de l'USDA  \n- R\u00e9f\u00e9rence : l'ensemble des indices est ramen\u00e9 \u00e0 2015 = 100 afin d'en assurer la comparabilit\u00e9  \n\nCes mesures uniformis\u00e9es facilitent le suivi des tendances de la productivit\u00e9 agricole au fil des ann\u00e9es et d'une \u00e9conomie \u00e0 l'autre.\n\n### Indicateurs inclus\nLe jeu de donn\u00e9es r\u00e9unit de nombreux indices de productivit\u00e9 totale des facteurs (PTF) ainsi que des indices d'intrants ventil\u00e9s selon :\n\n- Le travail  \n- La terre  \n- Le capital  \n- Les mat\u00e9riaux  \n- Les machines  \n- Le b\u00e9tail  \n- Les engrais  \n- L'alimentation animale  \n\nChaque variable se pr\u00e9sente dans des unit\u00e9s standardis\u00e9es telles que 1 000 hectares, 1 000 chevaux-vapeur m\u00e9triques ou m\u00e9gacalories (Mcal) d'\u00e9nergie m\u00e9tabolisable, le tout exprim\u00e9 en prix constants de 2015 ou en \u00e9quivalents physiques.\n\n### Ce qui rend ce jeu de donn\u00e9es unique\n- Couverture exhaustive : retrace intrants et produits agricoles sur une multitude de facteurs et de r\u00e9gions  \n- Comparabilit\u00e9 : des m\u00e9thodologies homog\u00e8nes autorisent une analyse comparative solide entre pays  \n- Transparence : chaque enregistrement est dot\u00e9 d'un horodatage updated_at garantissant sa tra\u00e7abilit\u00e9  \n- Pertinence pour les politiques : pens\u00e9 pour aider chercheurs, d\u00e9cideurs politiques et praticiens du d\u00e9veloppement \u00e0 appr\u00e9cier la croissance de la productivit\u00e9, l'efficacit\u00e9 des intrants et les mutations structurelles de l'agriculture  \n\n### Exemples d'utilisation\n- Quantifier la croissance de la productivit\u00e9 dans le secteur agricole d'Am\u00e9rique latine  \n- Confronter l'efficacit\u00e9 de l'utilisation des ressources entre r\u00e9gions et groupes de revenus  \n- Mettre en \u00e9vidence les \u00e9volutions de long terme de l'intensit\u00e9 des intrants et de la composition de la production  \n- \u00c9tayer une analyse fond\u00e9e sur des donn\u00e9es probantes des donn\u00e9es de productivit\u00e9 agricole au service de politiques durables", "pt_BR": "Este conjunto de dados consolida dados de produtividade agr\u00edcola harmonizados e atualizados para um amplo grupo de pa\u00edses, trazendo estat\u00edsticas anuais sobre a produ\u00e7\u00e3o agr\u00edcola, o emprego de insumos e a produtividade total dos fatores (PTF).  \nCom isso, torna-se vi\u00e1vel comparar, entre pa\u00edses e ao longo do tempo, o qu\u00e3o eficientemente a agricultura aproveita a terra, o trabalho e o capital.\n\n### Vis\u00e3o geral dos dados\nA base integra estat\u00edsticas de produtividade e de uso de insumos provenientes de diferentes fontes:\n\n- Fonte prim\u00e1ria: o conjunto de dados *International Agricultural Productivity (IAP)* do USDA, elaborado pelo Economic Research Service (ERS)  \n- Indicadores calculados: os \u00edndices de PTF Hicks-Moorsteen, Fare-Primont e Lowe, obtidos a partir desses mesmos dados do USDA  \n- Linha de base: o conjunto dos \u00edndices \u00e9 fixado em 2015 = 100 para assegurar a comparabilidade  \n\nEssas medidas uniformizadas auxiliam no acompanhamento das tend\u00eancias da produtividade agr\u00edcola com o passar dos anos e entre diferentes economias.\n\n### Indicadores inclu\u00eddos\nO conjunto de dados abrange diversos \u00edndices de produtividade total dos fatores (PTF), al\u00e9m de \u00edndices de insumos detalhados por:\n\n- Trabalho  \n- Terra  \n- Capital  \n- Materiais  \n- M\u00e1quinas  \n- Pecu\u00e1ria  \n- Fertilizantes  \n- Ra\u00e7\u00e3o  \n\nCada vari\u00e1vel aparece em unidades padronizadas, como 1.000 hectares, 1.000 cavalos-vapor m\u00e9tricos ou megacalorias (Mcal) de energia metaboliz\u00e1vel, sempre apresentadas em pre\u00e7os constantes de 2015 ou em equivalentes f\u00edsicos.\n\n### O que torna este conjunto de dados \u00fanico\n- Cobertura abrangente: monitora insumos e produtos agr\u00edcolas ao longo de m\u00faltiplos fatores e regi\u00f5es  \n- Comparabilidade: metodologias uniformes viabilizam uma an\u00e1lise comparativa confi\u00e1vel entre pa\u00edses  \n- Transpar\u00eancia: cada registro traz um carimbo de data/hora updated_at que garante sua rastreabilidade  \n- Relev\u00e2ncia para as pol\u00edticas: concebido para que pesquisadores, formuladores de pol\u00edticas e profissionais do desenvolvimento examinem o crescimento da produtividade, a efici\u00eancia dos insumos e as transforma\u00e7\u00f5es estruturais do setor agr\u00edcola  \n\n### Exemplos de uso\n- Mensurar o avan\u00e7o da produtividade no setor agr\u00edcola da Am\u00e9rica Latina  \n- Cotejar a efici\u00eancia no uso de recursos entre regi\u00f5es e grupos de renda  \n- Detectar mudan\u00e7as de longo prazo na intensidade dos insumos e na composi\u00e7\u00e3o da produ\u00e7\u00e3o  \n- Embasar an\u00e1lises de dados de produtividade agr\u00edcola apoiadas em evid\u00eancias para o desenho de pol\u00edticas sustent\u00e1veis"}}}