This 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.

This data collection contains individual-level and family-level information collected from the 1870 and 1880 manuscript schedules of the United States Population Census for seven Southern cities: Charleston, South Carolina, Richmond, Virginia, Atlanta, Georgia, Savannah, Georgia, Mobile, Alabama, Norfolk, Virginia, and New Orleans, Louisiana. Approximately 5,000 individuals and 1,500 families are represented for each of the two census years studied. Part 1 contains data for 1870, and Part 2 contains data for 1880. The data gathered for sampled individuals include age, sex, race, marital status, presence of health defect, school attendance, ability to read, ability to write, occupational classification (female and male), nationality, and real and personal wealth (for 1870 only). Both datasets include a variable that uniquely identifies each family in the sample to facilitate the aggregation of the data for the creation of family-level data for each member, e.g., sex, race, age, marital status, school attendance, member status in the family, occupation, health, unemployment, city of residence, nationality and parents' nationality, and real and personal wealth.

Only secondary data was used for this study on the impact of Hurricane Katrina on Southern Louisiana The data sets include: land-cover data for Louisiana, social and economic variables for New Orleans and avian species abundance data gathered from the NOAA Coastal Change Analysis Program, US Census and USGS North American Breeding Bird Survey, respectively. This dataset is associated with the following publication: Chuang, W., T. Eason, A. Garmestani, and C. Roberts. Impact of Hurricane Katrina on the Coastal Systems of Southern Louisiana. Frontiers in Environmental Science. Frontiers, Lausanne, SWITZERLAND, 7(68): 01-15, (2019).

Financial overview and grant giving statistics of Friends Of The Fisher House Of Southern Louisiana

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Southern University and A&M College: New Orleans (University or College) in Louisiana, including incidents, statistics, demographics, and detailed incident information.

This is a component of the Story Map: In Harm’s Way: Hurricane Ida’s Impact on Socially Vulnerable Communities.The vehicle availability by census tract layer was acquired from the Census Bureau's American Community Survey (ACS) and is shown in areas of South Louisiana affected by Hurricane Ida in 2021.

Financial overview and grant giving statistics of Southern Louisiana Neighborhood Networks Consortium Inc.

This dataset tracks annual diversity score from 1993 to 2023 for Southern Hills Elementary School vs. Louisiana and Caddo Parish School District

This dataset tracks annual two or more races student percentage from 2012 to 2023 for Southern Hills Elementary School vs. Louisiana and Caddo Parish School District

Complete historical game data between Louisiana and Southern Miss including scores, dates, locations, and game statistics.

Complete historical game data between Louisiana Tech and Southern Miss including scores, dates, locations, and game statistics.

In 2020, almost ****** vessels passed through the Port of South Louisiana. Nearly ****** of these ships were barges transporting dry bulk. Other barges and dry bulk carriers amounted to ***** and *** port calls that year, respectively.

In 2022, the Port of South Louisiana generated a revenue of some **** million U.S. dollars. This represents an increase of nearly ** percent compared with the previous year. The port ranked as the second-largest port in the United States in terms of total cargo throughput in 2020.

This dataset tracks annual hispanic student percentage from 2003 to 2023 for Southern Hills Elementary School vs. Louisiana and Caddo Parish School District

This is a component of the Story Map: In Harm’s Way: Hurricane Ida’s Impact on Socially Vulnerable Communities.This web map shows the FEMA National Risk Index (NRI) by county and by census tract in areas of South Louisiana affected by Hurricane Ida in 2021. See the FEMA website for full dataset.

In 2021, about ** percent of all cargo processed at the Port of Louisiana was maize. Most of the maize handled at the port were exports. The port ranked as the second-largest port in the United States in terms of total cargo throughput in 2020.

This dataset tracks annual black student percentage from 1993 to 2023 for Southern Hills Elementary School vs. Louisiana and Caddo Parish School District

Complete historical game data between Georgia Southern and Louisiana Tech including scores, dates, locations, and game statistics.

Financial overview and grant giving statistics of Southeastern Louisiana University Press Club

Complete historical game data between Georgia Southern and Louisiana including scores, dates, locations, and game statistics.