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TwitterThis resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined because of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard Census Bureau geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 77592 (Texas City, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 79759 (Notrees, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 78111 (Ecleto, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 78107 (Berclair, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 75798 (Tyler, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 76481 (South Bend, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 65564 (Solo, MO). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 65570 (Success, MO). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 65468 (Eunice, MO). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 75410 (Alba, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 77555 (Galveston, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 73901 (Adams, OK). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 78884 (Utopia, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 78842 (Del Rio, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 76247 (Justin, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 65571 (Summersville, MO). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 18046 (East Texas, PA). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 78013 (Comfort, TX). Interactive charts load automatically as you scroll for improved performance.
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Demographics, population, housing, income, education, schools, and geography for ZIP Code 79220 (Afton, TX). Interactive charts load automatically as you scroll for improved performance.
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TwitterThis resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) System (MTS). The MTS represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined because of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division or incorporated place boundaries in some states and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard Census Bureau geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous.