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The population density of Lafourche Crossing, LA was 477 in 2017.

Population Density

Population Density is computed by dividing the total population by Land Area Per Square Mile.

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Population Datasets Involving Lafourche Crossing, LA

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    New Brunswick Population Characteristics 1986 -2006 / Caractéristiques de la population du Nouveau-Brunswick 1986 -2006

    gnb.socrata.com | Last Updated 2019-07-12T13:06:01.000Z

    An overview of population totals for both urban and rural areas of New Brunswick / Un aperçu des totaux de population pour les zones urbaines et rurales du Nouveau-Brunswick

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    Strategic Measure_EOA.C.6 Number and percentage of residents that are living in an area considered to be a Complete Community

    datahub.austintexas.gov | Last Updated 2024-06-03T17:02:20.000Z

    This is a historical measure for Strategic Direction 2023. For more data on Austin demographics please visit austintexas.gov/demographics. A resident in a complete community is someone residing in an area that is within a 20 minute walk to multiple essential destinations. Calculation method: This study measured the distance and time it takes for a pedestrian to reach five essential destination, or "indicators," from any point across the city using the existing network of sidewalks and crossings within a 20-minute walk time. Using GIS software, this evaluation resulted in a rasterized overlay of geographic outlines of “walksheds” surrounding each indicator destination. Residential estimates were found using an internal database of residential housing units and applied density assumptions and should not be compared to other demographic datasets. Data was sourced from City of Austin, CapMetro, and Austin ISD. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/rw4g-mrjp

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    NNDSS - Table 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease

    data.cdc.gov | Last Updated 2022-01-12T18:33:43.000Z

    NNDSS - TABLE 1B. Arboviral diseases, Jamestown Canyon virus disease to Powassan virus disease – 2021. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non U.S. residents. Notice: Due to data processing issues at CDC, data for the following jurisdictions may be incomplete for week 7: Alaska, Arizona, California, Connecticut, Delaware, Florida, Hawaii, Louisiana, Maryland, Michigan, Missouri, North Dakota, New Hampshire, New York City, Oregon, Pennsylvania, and Rhode Island. Note: This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html. Footnotes: U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data. -: No reported cases — The reporting jurisdiction did not submit any cases to CDC. N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction. NN: Not nationally notifiable — This condition was not designated as being nationally notifiable. NP: Nationally notifiable but not published. NC: Not calculated — There is insufficient data available to support the calculation of this statistic. Cum: Cumulative year-to-date counts. Max: Maximum — Maximum case count during the previous 52 weeks. * Case counts for reporting years 2020 and 2021 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the U.S., a U.S. territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-U.S. Residents' category. Country of usual residence is currently not reported by all jurisdictions or for all conditions. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf. †Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).

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    Voting Precincts

    data.nola.gov | Last Updated 2023-06-13T16:49:46.000Z

    <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Boundaries of Orleans Parish voting precincts as defined by the New Orleans City Charter. New Orleans voting precincts are drawn according to the New Orleans Home Rule Charter as required by the State of Louisiana. A precinct is defined in the state of Louisiana's election code as the smallest political unit of a ward having defined geographical boundaries. Precinct boundaries were updated September 25, 2015, in order to satisfy population changes discovered by the Orleans Registrar of Voters Office. The changes have been made by the City of New Orleans and verified by the Louisiana Secretary of State's Office. Information about voter registation can be found here: https://www.sos.la.gov/ElectionsAndVoting/Pages/RegistrationStatisticsParish.aspx </SPAN></P><P><SPAN /></P><P><SPAN>https://www.municode.com/library/la/new_orleans/codes/code_of_ordinances?nodeId=PTIICO_CH58EL_ARTIIELPR</SPAN></P><P><SPAN>State Law</SPAN></P><P><SPAN>RS 18:532. Establishment of precincts</SPAN></P><P><SPAN>A. Subject to the provisions of R.S. 18:532.1 and 1903, the governing authority of each parish shall establish precincts, define the territorial limits for which each precinct is established, prescribe their boundaries, and designate the precincts. The governing authority of each parish shall by ordinance adopt the establishment and boundaries of each precinct in accordance with the timetable as set forth herein and in accordance with R.S. 18:532.1.</SPAN></P><P><SPAN>B.(1)(a) Each precinct shall be a contiguous, compact area having clearly defined and clearly observable boundaries coinciding with visible features readily distinguishable on the ground and approved extensions of such features, such as designated highways, roads, streets, rivers, or canals, and depicted on United States Bureau of the Census base maps for the next federal decennial census, except where the precinct boundary is coterminous with the boundary of a parish or an incorporated place when the boundaries of a single precinct contain the entire geographic area of the incorporated place. Except as otherwise provided in this Paragraph, on and after July 1, 1997, any precinct boundary which does not coincide with a visible feature shall be changed by the parish governing authority to coincide with a visible feature in accordance with R.S. 18:532.1.</SPAN></P><P><SPAN>(b) For the purposes of this Paragraph, the term "approved extension" shall mean an extension of one visible feature to another visible feature which has been approved by the secretary of the Senate and the clerk of the House of Representatives or their designees and which is or which will be a census tabulation boundary.</SPAN></P><P><SPAN>(2) No precinct shall be wholly contained within the territorial boundaries of another precinct, except that a precinct which contains the entire geographical area of an incorporated place and in which the total number of registered voters at the last general election was less than three hundred may be so contained.</SPAN></P><P><SPAN>(3) No precinct shall contain more than two thousand two hundred registered voters within its geographic boundaries. Within thirty days after the completion of each canvass, the registrar of voters of each parish shall notify the parish governing authority of every precinct in the parish which contains more than two thousand two hundred registered voters within its geographic boundaries. Within sixty days of such notification, the parish governing authority shall divide such precincts by a visible feature in accordance with R.S. 18:532.1.</SPAN></P><P><SPAN>(4)(a) No precinct shall contain less than three hundred registered voters within its geographical boundaries, except:</SPAN></P><P><SPAN>(i) When necessary to make it more convenient for voters in a geographically isolated and unincorporated area to vote. A voter in a geographically isolated and unincorporated area shall mean a voter whose residen

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    Population and Housing Censuses Indicators of Latin America and the Caribbean

    mydata.iadb.org | Last Updated 2024-02-15T20:34:31.000Z

    The Population and Housing Censuses database contains the censuses harmonized in such a way as to provide comparable census information over time and across countries. The variables in these databases are constructed under a common approach and structure, with standardized names, definitions, and disaggregations, and stored in a single file for each country. Currently, the harmonization of Population and Housing Censuses includes databases for 22 countries. The indicators are categorized into seven themes: demographics, education, labor market, housing, income, migration, and diversity. When possible, we add multiple disaggregations for indicators. The available disaggregations are ethnicity, gender, age, education level, and area of geographic residence. The management and harmonization of this database are provided by the Social Sector (SCL) of the Vice Presidency of Knowledge and Sectors to strengthen the analytical content of projects and studies.

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    Emerging and Sustainable Cities Initiative: Cities

    mydata.iadb.org | Last Updated 2024-02-15T17:30:25.000Z

    The Urban Dashboard allows to explore and compare more than 150 quantitative indicators, public opinion polls and interactive maps of intermediate cities in Latin America and the Caribbean. These are cities that have an outstanding economic and population growth, and receive technical assistance from the Emerging and Sustainable Cities Initiative (ESCI) of the IDB. This dataset was created to feed the urbandashboard.org platform. It contains all the cities data (country, area, population, longitud, latitude, etc).<br><br><b>Click here to access the data: https://mydata.iadb.org/idb/dataset/m7ru-9336</b></br></br>

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    OLAS Population-based Water Stress and Risk Dataset for Latin America and the Caribbean

    mydata.iadb.org | Last Updated 2023-06-15T08:22:16.000Z

    LAC is the most water-rich region in the world by most metrics; however, water resource distribution throughout the region does not correspond demand. To understand water risk throughout the region, this dataset provides population and land area estimates for factors related to water risk, allowing users to explore vulnerability throughout the region to multiple dimensions of water risk. This dataset contains estimates of populations living in areas of water stress and risk in 27 countries in Latin America and the Caribbean (LAC) at the municipal level. The dataset contains categories of 18 factors related to water risk and 39 indices of water risk and population estimates within each with aggregations possible at the basin, state, country, and regional level. The population data used to generate this dataset were obtained from the WorldPop project 2020 UN-adjusted population projections, while estimates of water stress and risk come from WRI’s Aqueduct 3.0 Water Risk Framework. Municipal administrative boundaries are from the Database of Global Administrative Areas (GADM). For more information on the methodology users are invited to read IADB Technical Note IDB-TN-2411: “Scarcity in the Land of Plenty”, and WRIs “Aqueduct 3.0: Updated Decision-relevant Global Water Risk Indicators”. | https://www.wri.org/data/aqueduct-global-maps-30-data | | https://www.worldpop.org/ | | https://gadm.org/ |

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    Database of Labor Markets and Social Security Information System (SIMS)

    mydata.iadb.org | Last Updated 2024-05-07T18:30:52.000Z

    The Database of Labor Markets and Social Security Information System (SIMS) is the most important source of information about jobs and pensions in Latin America and the Caribbean. It encompasses harmonized statistics of 25 countries in the region, assuring the comparability of the indicators among them and also over time. The dataset includes data since 1990 and it presents 72 main indicators, which can be broken down by age group, gender, zone, level of education and other. The SIMS contains information in 6 broad categories: population, employment, unemployment, income, social security and poverty. This database seeks to contribute to public policies design based on evidence to strengthen the development of the region. Also, visit the SIMS Website: https://www.iadb.org/es/sectores/inversion-social/sims/inicio

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    Learning Improvement Information Center: Regional Indicators for Household surveys, Coverage, Efficiency, Youth Inactivity and Education Levels.

    mydata.iadb.org | Last Updated 2024-02-15T20:13:49.000Z

    This dataset consists of statistics measuring the educational attainment and average years of schooling of the adult population, how many children are actively participating in the school system, the efficiency of the school system, and youth inactivity. Main indicators: mean years of schooling, educational attainment, attendance rates, out of school children, overage rates, years in school vs schooling years, and youth inactivity.

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    Data of Violence against women - Trinidad and Tobago Harmonized Data

    mydata.iadb.org | Last Updated 2018-01-29T22:37:47.000Z

    This file contains descriptive data derived from the end line data set collected for a survey carried out to establish baseline indicators of women´s needs in the areas of economic autonomy, sexual and reproductive health and services to prevent and redress intimate partner violence in November of 2015 with the participation of 227 women between the ages of 15 and 70 years residing in a low- and middle-income neighborhood in a populated urban area of Trinidad and Tobago. A Word document containing the response key for all questionnaire items is attached as an annex. <br><br><b>Click here to access the data: https://mydata.iadb.org/d/tqab-m9w9</b></br></br>