View the diversity of challenges and opportunities across America's counties within different types of rural regions and communities. Get statistics on people, jobs, and agriculture.

The dataAtlas, Rurality, Clúster, Affinity Propagation, Geographic Information Systems stored below are associated with the different characteristics of the rural territories of Chile, to agglomerate territories based on domains and indicators, such as: Demographic, Natural Areas, Productive Sector, Geography and Territory, Accessibility, Culture. These data are the result of different processes, the first one associated to the crossing between geospatial variables (geomorphology, climate, land use, among others) with the selection of rural and mixed districts. The second set of data is related to the data dictionary, this information base (Excel) has the necessary indicators to run the clustering model. Third, the data of the 95 clusters established during the AP clustering process. Fourth, the data on the 34 typologies finally established for the rural territory of Chile are presented.

This link contains downloadable data for the Atlas of Rural and Small-Town America which provides statistics by broad categories of socioeconomic factors: People: Demographic data from the American Community Survey (ACS), including age, race and ethnicity, migration and immigration, education, household size, and family composition. Jobs: Economic data from the Bureau of Labor Statistics and other sources, including information on employment trends, unemployment, and industrial composition of employment from the ACS. County classifications: Categorical variables including the rural-urban continuum codes, economic dependence codes, persistent poverty, persistent child poverty, population loss, onshore oil/natural gas counties, and other ERS county typology codes. Income: Data on median household income, per capita income, and poverty (including child poverty). Veterans: Data on veterans, including service period, education, unemployment, income, and other demographic characteristics.

Dataset

This dataset was created by Bojan Tunguz

Released under U.S. Government Works

Contents

From the site: “The Geologic Atlas of the United States is a set of 227 folios published by the U.S. Geological Survey between 1894 and 1945. Each folio includes both topographic and geologic maps for each quad represented in that folio, as well as description of the basic and economic geology of the area. The Geologic Atlas collection is maintained by the Map & GIS Library. The repository interface with integrated Yahoo! Maps was developed by the Digital Initiatives -- Research & Technology group within the TAMU Libraries using the Manakin interface framework on top of the DSpace digital repository software.

Additional files of each map are available for download for use in GIS or Google Earth. A tutorial is provided which describes how to download theses files.”

Rural population of Hunan slipped by 2.64% from 2,740 ten thousand persons in 2020 to 2,668 ten thousand persons in 2021. Since the 2.78% downward trend in 2011, rural population sank by 26.33% in 2021. Rural population refers to population other than urban population.

Rural poverty rate of Viet Nam sank by 15.84% from 22.1 % in 2012 to 18.6 % in 2014. Since the 17.84% slump in 2012, rural poverty rate plummeted by 15.84% in 2014. Rural poverty rate is the percentage of the rural population living below the national rural poverty line.

Orientação Técnica - Adubação

População rural municipal em 1991

Despesas com Insumos

População rural municipal em 200

In 2020, proportion of rural population served with at least basic water for Madagascar was 36.4 %. Proportion of rural population served with at least basic water of Madagascar increased from 24.3 % in 2001 to 36.4 % in 2020 growing at an average annual rate of 2.16%.

In 2020, proportion of rural population served with at least basic sanitation for Panama was 65.3 %. Proportion of rural population served with at least basic sanitation of Panama increased from 45.4 % in 2001 to 65.3 % in 2020 growing at an average annual rate of 1.93%.

Rural population of Muchinga went down by 1.01% from 69.0 percent in 2023 to 68.3 percent in 2024. Since the 1.53% dip in 2014, rural population dropped by 11.76% in 2024.

Numero de pescadores extrativistas e porcentagem na população total 2009

Distribuição espacial de produtos de Exportação

2.646 (Rubles) in 2016. Indicator is based on the results of the sample survey of households' budgets. Households consumer expenditure is the part of money expenditure on purchasing consumer goods and services. Consumer expenditure does not include spending on purchasing pieces of art, antiques and jewelry made for the purpose of capital investment, it also excludes payments for materials and works for construction being classified as an investment. Consumer expenditure is classified by types of goods and services.

During a heavy downpour, the water on the streets can become so high that certain road sections become impassable for passenger cars, or even for emergency traffic such as ambulances, police and fire brigade. This map shows which roads are only passable for emergency traffic or are no longer passable at all after an extreme shower of 100 mm in 2 hours. Only the roads in rural areas have been included in this analysis. Construction Roads are classified as 'passable' (green) if there is a maximum water depth of 10 cm. At water depths between 10 and 30 cm, the roads are classified as 'passable for emergency traffic' (yellow). This means that the road is no longer passable for normal traffic. Provided that driving is done at a walking pace and no bow wave is created, emergency traffic can use the road. In theory, this certainly applies to emergency services vehicles that are higher on the wheels. Roads with water depths of 30 cm and more are 'impassable' (red). The main access routes are shown in bold. The modeling includes the flow over the ground level, as well as the discharge via the sewer system and open water. However, it is possible that the bottlenecks presented are not always recognized (to that extent) in practice. No rights can be derived from the absolute values. The results provide a first indication of the expected impassability of roads in rural areas during extreme precipitation.

1,1 (%) in 2022H1.

1.734 (Rubles) in 2016. Indicator is based on the results of the sample survey of households' budgets. Households consumer expenditure is the part of money expenditure on purchasing consumer goods and services. Consumer expenditure does not include spending on purchasing pieces of art, antiques and jewelry made for the purpose of capital investment, it also excludes payments for materials and works for construction being classified as an investment. Consumer expenditure is classified by types of goods and services.