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The land area of Bosque Farms, NM was 4 in 2013.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

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 Area Datasets Involving Bosque Farms, NM

  • API

    Aquaculture Facilities in Colorado

    data.colorado.gov | Last Updated 2024-10-11T11:00:39.000Z

    Facility names and their city, provided by the Colorado Department of Agriculture (CDA).

  • API

    COE Parks and Amenities

    data.everettwa.gov | Last Updated 2023-02-15T22:17:22.000Z

    Data set Contains Address and Park Amentities

  • API

    Feed the Future Malawi: Baseline Household Survey, Household Data Used for the Women's Empowerment in Agriculture Index

    datahub.usaid.gov | Last Updated 2024-07-12T09:46:17.000Z

    This dataset describes data about the households that participated in this baseline survey collected for the express purpose of calculating the Women's Empowerment in Agriculture Index (WEAI). The spreadsheet has 233 columns and 4,880 rows. The Malawi Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in seven districts in the Central and Southern Regions: Mchinji, Lilongwe, Dedza, Ntcheu, Balaka, Machinga, and Mangochi. The PBS was conducted from November 14 to December 22, 2012. The overall objective of the survey is to provide baseline on data living standards, nutritional status, and women's empowerment in agriculture in the Zone Of Influence. A total of 3,397 households in the ZOI were interviewed for the PBS, and these households were spread across 126 rural standard enumeration areas (SEAs) in the seven districts.

  • API

    National Community Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL)

    data.cdc.gov | Last Updated 2023-08-25T15:08:48.000Z

    Community-Based Survey of Supports for Healthy Eating and Active Living (CBS HEAL) is a CDC survey of a nationally representative sample of U.S. municipalities to better understand existing community-level policies and practices that support healthy eating and active living. The survey collects information about policies such as nutrition standards, incentives for healthy food retail, bike/pedestrian-friendly design, and Complete Streets. About 2,000 municipalities respond to the survey. Participating municipalities receive a report that allows them to compare their policies and practices with other municipalities of similar geography, population size, and urban status. The CBS HEAL survey was first administered in 2014 and was administered again in 2021. Data is provided in multiple formats for download including as a SAS file. A methods report and a SAS program for formatting the data are also provided.

  • API

    Monthly Transportation Statistics

    data.bts.gov | Last Updated 2024-10-08T19:55:34.000Z

    Monthly Transportation Statistics is a compilation of national statistics on transportation. The Bureau of Transportation Statistics brings together the latest data from across the Federal government and transportation industry. Monthly Transportation Statistics contains over 50 time series from nearly two dozen data sources.

  • API

    Feed the Future Tajikistan Zone of Influence Population Based Survey, Women's Empowerment in Agriculture Index-Household File

    datahub.usaid.gov | Last Updated 2024-06-25T02:08:06.000Z

    The baseline survey in Tajikistan captures data in the Feed the Future Zones of Influence (ZOI), comprised of 12 of the 24 districts in Khatlon province. A total of 2,000 households in the ZOI were surveyed for the PBS data collection activity. These households are spread across 100 standard enumeration areas in the targeted districts. The survey is comprised of ten CSV files: a children's file, a household-level file, a household member level file, a women's file, several files describing consumption, and two files used to construct the Women's Empowerment in Agriculture Index. This file reports household level data from the Women's Empowerment in Agriculture Index (WEAI). The WEAI measures the empowerment, agency, and inclusion of women in the agriculture sector in an effort to identify and address the constraints that limit women’s full engagement in the agriculture sector.

  • API

    Zoo Development - Edmonton Insight Community

    data.edmonton.ca | Last Updated 2019-07-17T16:49:10.000Z

    This was one single topic among many as part of the December Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=141&t=1. Open from November 30 - December 09, 2014. At the time the survey was launched survey invitations were sent to 2035 Insight Community Members. 950 members completed the survey which represents a completion rate of 47%. A total of 1049 respondents completed the survey: 950 Insight Community Members and 99 using the anonymous link which will have no demographic info.

  • API

    Primary Land Use Tax Lot Output (PLUTO)

    data.cityofnewyork.us | Last Updated 2024-09-30T20:56:40.000Z

    Extensive land use and geographic data at the tax lot level in comma-separated values (CSV) file format. The PLUTO files contain more than seventy fields derived from data maintained by city agencies. All previously released versions of this data are available at <a href="https://www.nyc.gov/site/planning/data-maps/open-data/bytes-archive.page?sorts%5Byear%5D=0">BYTES of the BIG APPLE- Archive</a>

  • API

    Feed the Future Malawi Interim Survey in the Zone of Infuence, Women's Empowerment in Agriculture Index-File 1

    datahub.usaid.gov | Last Updated 2024-07-12T10:07:54.000Z

    This dataset is the first of two datasets needed to calculate the Women’s Empowerment in Agriculture Index (WEAI). It is part of the 2015 Feed the Future Malawi Interim Survey in the Zone of Influence. The survey was designed to monitor program performance by periodic assessments of a number of standardized indicators. A total of 1,021 households were interviewed, which provided data for the target sample size of 1,007 households and ensured the sample is representative of the seven districts covered in the interim assessment. This dataset contains Module G data from the primary adult (18+) female decision maker within each household (for the sub-sample of households with a primary adult female decision maker). The unique identifiers for this file are pbs_id + idcode.

  • API

    Land Use_data

    opendata.utah.gov | Last Updated 2024-04-10T19:40:16.000Z

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the Northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the Southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe’s Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe’s Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS.