A comprehensive dataset of 1,513 Pakistani cities, towns, tehsils, districts and places with latitude/longitude, administrative region, population (when available) and Wikidata IDs — ideal for mapping, geospatial analysis, enrichment, and location-based ML.

Why this dataset is valuable:

• Full geocoordinates for every entry (100% coverage) — ready for mapping and spatial joins.
• Wide geographic coverage across all 7 major regions of Pakistan (provinces / administrative regions).
• Wikidata IDs included for reliable cross-referencing and automatic enrichment from external knowledge bases.
• Useful for data scientists, GIS engineers, civic tech projects, academic research, and startups building Pakistan-focused location services.

Highlights (fetched from the data):

• Total rows: 1,513
• Unique places (city field): 1,497
• Rows with population > 0: 526 (≈34.8%)
• Coordinate coverage: 1513 / 1513 (100%) — directly usable with mapping libraries.

Column definitions (short):

• id — Internal numeric row id (unique integer).
• wikiDataId — Wikidata QID (e.g., Q####) for the place; use to fetch rich metadata.
• type — Administrative/place type (e.g., ADM1, ADM2, city, district, tehsil).
• city — Common/local city/place name (short label).
• name — Full name / official name of the place (may include “District”, “Tehsil”, etc.).
• country — Country name (Pakistan).
• countryCode — ISO country code (e.g., PK).
• region — Primary administrative region / province (e.g., Punjab, Sindh).
• regionCode — Short code for region (e.g., PB, KP depending on your encoding).
• regionWdId — Wikidata QID for the region.
• latitude — Latitude in decimal degrees (float).
• longitude — Longitude in decimal degrees (float).
• population — Integer population (0 or NA where unknown).

Typical & high-value use cases:

• Mapping & visualization: choropleth maps, point overlays, heatmaps of population or density.
• Geospatial analysis: distance calculations, nearest-neighbor queries, clustering of urban centers.
• Data enrichment: join with other datasets (OpenStreetMap, Wikidata, census data) using wikiDataId and coordinates.
• Machine learning & NLP: training geolocation models, geoparsing, toponym resolution, place name disambiguation.
• Urban planning & research: analyze distribution of population-ready places vs administrative units.
• Mobile / location-based apps: lookup & reverse geocoding fallback, seeding POI databases for Pakistan.
• Humanitarian & disaster response: baseline location lists for logistics and situational awareness.

Bathymetry for Chesapeake Bay was derived from two hundred ninety-seven surveys containing 3,178,509 soundings. Thirty-five older, less accurate, overlapping surveys were entirely omitted before tinning. Partial overlap from other older, less accurate surveys was also omitted prior to tinning. The surveys used dated from 1859 to 1993. Thirty-six surveys dated from 1859 to 1918, thirty-seven from the 1930s, ninety-one from the 1940s, sixty- six from the 1950s, twenty-five from the 1960s, twenty-four from the 1970s, fourteen from the 1980s, and four from the 1990s. The total range of sounding data was 3.7 meters to -50.4 meters at mean low water. Mean high water values between 0.2 and 1.2 meters were assigned to the shoreline. Fifteen points were found that were not consistent with the surrounding data and were removed prior to tinning. DEM grid values outside the shoreline (on land) were assigned null values (-32676). Chesapeake Bay has two hundred eighteen 7.5 minute DEMs and ten one degree DEMs. The 1 degree DEMs were generated from the higher resolution 7.5 minute DEMs which covered the estuary. A Digital Elevation Model (DEM) contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A- record), followed by a series of profile records (B- records) each of which include a short B-record header followed by a series of ASCII integer elevations (typically in units of 1 centimeter) per each profile. The last physical record of the DEM is an accuracy record (C- record). The 7.5-minute DEM (30- by 30-m data spacing) is cast on the Universal Transverse Mercator (UTM) projection. It provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle but the DEM contains over edge data. Coverage is available for many estuaries of the contiguous United States but is not complete. This layer was modified from its original form. Please see lineage section for details. Not to be used for Navigation. Acknowledgment of the National Oceanic and Atmospheric Administration - Nation Ocean Service would be appreciated in products derived from these data. The datum for these bathymetric DEMs is not the same as that used by the US Geological survey (USGS) for land based DEMs which results in a discontinuity if the two datasets are merged together. Moreover, the shoreline for the USGS DEMs is indeterminate and not the same as that used for the Bathymetric DEMs. The data within the bathymetry file is floating point. When using the data within a GIS care must be taken to ensure that the data are being read as floating point and not integer data.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/Elevation/MD_Bathymetry/MapServer/0

The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. The original GLO-30 provides worldwide coverage at 30 meters (refers to 10 arc seconds). Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs. Note that the vertical unit for measurement of elevation height is meters. The Copernicus DEM for Europe at 30 meter resolution (EU-LAEA projection) in COG format has been derived from the Copernicus DEM GLO-30, mirrored on Open Data on AWS, dataset managed by Sinergise (https://registry.opendata.aws/copernicus-dem/). Processing steps: The original Copernicus GLO-30 DEM contains a relevant percentage of tiles with non-square pixels. We created a mosaic map in https://gdal.org/drivers/raster/vrt.html format and defined within the VRT file the rule to apply cubic resampling while reading the data, i.e. importing them into GRASS GIS for further processing. We chose cubic instead of bilinear resampling since the height-width ratio of non-square pixels is up to 1:5. Hence, artefacts between adjacent tiles in rugged terrain could be minimized: gdalbuildvrt -input_file_list list_geotiffs_MOOD.csv -r cubic -tr 0.000277777777777778 0.000277777777777778 Copernicus_DSM_30m_MOOD.vrt In order to reproject the data to EU-LAEA projection, bilinear resampling was performed in GRASS GIS (using r.proj) and the pixel values were scaled with 1000 (storing the pixels as Integer values) for data volume reduction. In addition, a hillshade raster map was derived from the resampled elevation map (using r.relief, GRASS GIS). Eventually, we exported the elevation and hillshade raster maps in Cloud Optimized GeoTIFF (COG) format, along with SLD and QML style files. Note that GLO-30 Public provides limited coverage at 30 meters because a small subset of tiles covering specific countries are not yet released to the public by the Copernicus Programme. Note that ocean areas do not have tiles, there one can assume height values equal to zero. Data is provided as Cloud Optimized GeoTIFFs.

Listing of Washoe County COVID-19 case data, by day posted to public dashboard. This table is based on best available information from the Washoe County Health District. Not all fields are populated for all dates.Name FieldName FieldType Comment

OBJECTID OBJECTID ObjectID System generated unique ID

Date Reported reportdt Date Effective date of this row of data

Confirmed confirmed Integer Total number of confirmed cases to date

Recovered recovered Integer Number of recoveries to date

Deaths deaths Integer Number of deaths to date

Active active Integer Current number of active cases

Male Male Small Integer Total confirmed cases to date: Male

Female Female Small Integer Total confirmed cases to date: Female

OtherGender GenderOther Small Integer Total confirmed cases to date: OtherGender

Total Cases 0-9 Age0to9 Small Integer Total confirmed cases to date: Total Cases 0-9

Total Cases 10-19 Age10to19 Small Integer Total confirmed cases to date: Total Cases 10-19

Total Cases 20-29 Age20to29 Small Integer Total confirmed cases to date: Total Cases 20-29

Total Cases 30-39 Age30to39 Small Integer Total confirmed cases to date: Total Cases 30-39

Total Cases 40-49 Age40to49 Small Integer Total confirmed cases to date: Total Cases 40-49

Total Cases 50-59 Age50to59 Small Integer Total confirmed cases to date: Total Cases 50-59

Total Cases 60-69 Age60to69 Small Integer Total confirmed cases to date: Total Cases 60-69

Total Cases 70-79 Age70to79 Small Integer Total confirmed cases to date: Total Cases 70-79

Total Cases 80-89 Age80to89 Small Integer Total confirmed cases to date: Total Cases 80-89

Total Cases 90-99 Age90to99 Small Integer Total confirmed cases to date: Total Cases 90-99

Total Cases 100+ Age100plus Small Integer Total confirmed cases to date: Total Cases 100+

UnknownAge AgeNA Small Integer Total confirmed cases to date: UnknownAge

Native American E_NativeAmerican Integer Total Cases to date: Native American

Asian E_Asian Integer Total Cases to date: Asian

African American E_Black Integer Total Cases to date: African American

Hispanic E_Hispanic Integer Total Cases to date: Hispanic

Hawaiian or Pacific Islander E_HawaiianPacific Integer Total Cases to date: Hawaiian or Pacific Islander

Caucasian E_White Integer Total Cases to date: Caucasian

Multiple E_Multiple Integer Total Cases to date: Multiple

OtherEthnicity E_Other Integer Total Cases to date: OtherEthnicity

EthnicityUnknown E_Unknown Integer Total Cases to date: EthnicityUnknown

New Cases 7 Day Moving Average NewCases7DMA Double Average New Cases over last 7 days

NewCases NewCases Integer New Cases in last day

ActiveCasesAge0to9per100K Age0to9_100K Double Active Cases per 100,000: Age0to9

ActiveCasesAge10to19per100K Age10to19_100K Double Active Cases per 100,000: Age10to19

ActiveCasesAge20to29per100K Age20to29_100K Double Active Cases per 100,000: Age20to29

ActiveCasesAge30to39per100K Age30to39_100K Double Active Cases per 100,000: Age30to39

ActiveCasesAge40to49per100K Age40to49_100K Double Active Cases per 100,000: Age40to49

ActiveCasesAge50to59per100K Age50to59_100K Double Active Cases per 100,000: Age50to59

ActiveCasesAge60to69per100K Age60to69_100K Double Active Cases per 100,000: Age60to69

ActiveCasesAge70to79per100K Age70to79_100K Double Active Cases per 100,000: Age70to79

ActiveCasesAge80to89per100K Age80to89_100K Double Active Cases per 100,000: Age80to89

ActiveCasesAge90to99per100K Age90to99_100K Double Active Cases per 100,000: Age90to99

ActiveCasesAge100plusper100K Age100plus_100K Double Active Cases per 100,000: Age100plus

This dataset is the 2023 version of wildfire hazard potential (WHP) for the United States. The files included in this data publication represent an update to any previous versions of WHP or wildland fire potential (WFP) published by the USDA Forest Service. WHP is an index that quantifies the relative potential for high-intensity wildfire that may be difficult to manage, used as a measure to help prioritize where fuel treatments may be needed. This 2023 version of WHP was created from updated national wildfire hazard datasets of annual burn probability and fire intensity generated by the USDA Forest Service, Rocky Mountain Research Station with the large fire simulation system (FSim). Vegetation and wildland fuels data from LANDFIRE 2020 (version 2.2.0) were the primary inputs to the updated FSim modeling work and therefore form the foundation for this version of the WHP. As such, the data presented here reflect landscape conditions as of the end of 2020. LANDFIRE 2020 vegetation and fuels data were also used directly in the WHP mapping process, along with updated point locations of fire occurrence ca. 1992-2020. With these datasets as inputs, we produced an index of WHP for all of the conterminous United States at 270-meter resolution. We present the final WHP map in two forms: 1) continuous integer values, and 2) five WHP classes of very low, low, moderate, high, and very high. On its own, WHP is not an explicit map of wildfire threat or risk, but when paired with spatial data depicting highly valued resources and assets such as structures or powerlines, it can approximate relative wildfire risk to those specific resources and assets. WHP is also not a forecast or wildfire outlook for any particular season, as it does not include any information on current or forecasted weather or fuel moisture conditions. It is instead intended for long-term strategic fuels management.These new data represent an update to all previous versions of WHP or WFP published by the USDA Forest Service. On 07/17/2024 this data package was updated to correct a data processing error that caused a very small number of pixels to be Nodata in the initial classified version that should have been Very High WHP. This update also included the addition of summaries tables by management jurisdictions. To check for the latest version of the WHP geospatial data and map graphics, as well as documentation on the mapping process, see: https://www.firelab.org/project/wildfire-hazard- potential. Details about the Wildfire Hazard Potential mapping process can be found in Dillon et al. (2015). Steps described in this paper about weighting for crown fire potential were dropped in the 2018 and subsequent versions due to changes to the FSim modeling products used as the primary inputs to WHP mapping.

Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A- record), followed by a series of profile records (B- records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record).7.5-minute DEM (30- by 30-m data spacing, cast on Universal Transverse Mercator (UTM) projection). Provides coverage in 7.5- by 7.5-minute blocks. Each product provides the same coverage as a standard USGS 7.5-minute quadrangle without over edge.

Refuse bags will be collected every week.Recycling will alternate between BIN and CRATE collections, depending what WEEK Zone you live in.Week 1 & 2 calendars are available from our website (Rubbish and recycling days (pncc.govt.nz) Search for your address and download the calendar.)Dataset Attributes

BAG_DAY: Type – String

    Day of week when general rubbish

will be collected.

RECYCLE_DAY: Type – String

    Day of week when recycling will be

collected.

SYMBOL: Type – String

    Used for map symbology

    Made up of DayOfWeek, Collection

week and Recycle collection or not

DESCRIPTION: Type – String

    Describing the collection as per

calendar

COLLECTION_TYPE: Type - Small Integer

    “10x” x=1, 2, 3 or 4

    1 – Bin Week 1

    2 – Bin Week 2

    3 – Bin & Crate

    4 – No Recycling

HYPERLINK: Type – String

    URL to the current recycle calendar.

CollectionDate: Type – Date

    Date the data was generated

WEEK: Type – Integer

    The current week (1 or 2), except

when week = 0 or 3

DateLabel: Type – String

    Day of week + current date

CollDescr: Type – String

    Generated string indicating this

week’s collection

BIN_WEEK: Type – Integer

    The week cycle your bin will be

collected

CRATE_WEEK: Type – Integer

    The week cycle you create will be collected

OBJECTID: Type – Integer

    System unique ID, not enduring

SHAPE: Type – esriFieldTypeGeometry

    Geometry, NZTM projection. (WKID-2193)

ESRI_OID: Type – ObjectID

    ArcGIS Online ID

This layer contains the latest collection of research-grade species observations contributed by iNaturalist users through the iNaturalist social network app and website. These Open Data observations can be used by the GIS community to better understand biodiversity, sustainability, migration patterns, invasive and threatened species distributions, and climate change adaptations, among many other use cases.Consumption Best PracticesDue to the high volume of observations, the service limits individual point visibility to only draw at the largest scales, using multi-scale H3 hexbins to summarize predominant observations at smaller scales.Small subsets of iNaturalist observations (128,000) can be copied from the service for use in analysis, data enrichment, or other visualizations. For larger iNaturalist archive requests or for access to iNaturalist Project datasets, use the iNaturalist website, or the iNaturalist AWS S3 Open Data extract, from which this service was derived.Source: iNaturalist AWS S3 Open DataUpdate Frequency: Monthly, end of the monthSpatial Reference: WGS 1984 (WKID 4326)Area Covered: WorldAttribute InformationTaxonomy: Each observation contains its taxonomic hierarchy (Kingdom, Phylum, Class, Order, Family, Genus, Species), as well as its Scientific Name and Common Name (where available). iNaturalist Taxon Category: Observations are symbolized according to 12 unique taxonomic groups used by the iNaturalist community. User Information: All observations are credited to the iNaturalist User ID, User Login, and User Name (where provided)Media and Licenses: Direct URL links are provided to one original-resolution image from the iNaturalist observation. Creative Commons licensing also indicates the sharing and attribution of any photographic media associated with a user observation.Dates: Observations include an Observed on Date and a Modified on Date provided by iNaturalist. In addition, these date fields were added to simplify the filtering and visualization of observations by year or month:Observed on Month (integer)Observed on Year (integer)Note about Research Grade ObservationsOnly Verifiable and Research Grade observations are included in this service. An observation is Verifiable if it meets these requirements:Has a dateIs georeferenced (has lat/lon coordinates)Has photographs or soundsIsn’t of a captive or cultivated organismIn addition, a Verifiable observation moves from "Needs ID" to "Research Grade" in iNaturalist when at least 2 species-level identifications (and 2/3 of all suggested identifications) are in agreement. See here for more information on how iNaturalist assesses data quality.Note about Location PrivacyTo protect the livelihood of endangered or threatened species, the X/Y locations of some iNaturalist observations are automatically obscured to a random location in a 400 square-kilometer grid cell. Similarly, users can choose to obscure the location of their observations in the iNaturalist app settings for personal privacy reasons. The result is that you may see dense, blocky aggregations of observations as you navigate around the map – or observations that appear in unusual places (e.g., an endangered coastal plant that has been relocated out in the ocean.)Additional iNaturalist ResourcesiNaturalist Guides iNaturalist statistics and observations iNaturalist Forum iNaturalist within the press Spatial Filtering options and examplesRevisionsJuly 10, 2024: Beta release of the iNaturalist Observations Live Feed service.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Any changes or deletions made to user observations through the iNaturalist app or website will not be reflected in this service until the next monthly update.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.-9An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.-8An '-8' means that the estimate is not applicable or not available.-6A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.-5A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.-3A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.-2A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

This Beta layer contains the latest collection of research-grade species observations contributed by iNaturalist users through the iNaturalist social network app and website. These Open Data observations can be used by the GIS community to better understand biodiversity, sustainability, migration patterns, invasive and threatened species distributions, and climate change adaptations, among many other use cases. Consumption Best PracticesDue to the high volume of observations, the service limits individual point visibility to only draw at the largest scales, using multi-scale H3 hexbins to summarize predominant observations at smaller scales.Small subsets of iNaturalist observations (128,000) can be copied from the service for use in analysis, data enrichment, or other visualizations. For larger iNaturalist archive requests or for access to iNaturalist Project datasets, use the iNaturalist website, or the iNaturalist AWS S3 Open Data extract, from which this service was derived. Source: iNaturalist AWS S3 Open DataUpdate Frequency: Monthly, end of the month Spatial Reference: WGS 1984 (WKID 4326)Area Covered: World Attribute InformationTaxonomy: Each observation contains its taxonomic hierarchy (Kingdom, Phylum, Class, Order, Family, Genus, Species), as well as its Scientific Name and Common Name (where available).iNaturalist Taxon Category: Observations are symbolized according to 12 unique taxonomic groups used by the iNaturalist community. User Information: All observations are credited to the iNaturalist User ID, User Login, and User Name (where provided)Media and Licenses: Direct URL links are provided to one original-resolution image from the iNaturalist observation. Creative Commons licensing also indicates the sharing and attribution of any photographic media associated with a user observation.Dates: Observations include an Observed on Date and a Modified on Date provided by iNaturalist. In addition, these date fields were added to simplify the filtering and visualization of observations by year or month:Observed on Month (integer)Observed on Year (integer)Note about Research Grade Observations Only Verifiable and Research Grade observations are included in this service. An observation is Verifiable if it meets these requirements: Has a dateIs georeferenced (has lat/lon coordinates)Has photographs or soundsIsn’t of a captive or cultivated organismIn addition, a Verifiable observation moves from "Needs ID" to "Research Grade" in iNaturalist when at least 2 species-level identifications (and 2/3 of all suggested identifications) are in agreement. See here for more information on how iNaturalist assesses data quality. Note about Location Privacy To protect the livelihood of endangered or threatened species, the X/Y locations of some iNaturalist observations are automatically obscured to a random location in a 400 square-kilometer grid cell. Similarly, users can choose to obscure the location of their observations in the iNaturalist app settings for personal privacy reasons. The result is that you may see dense, blocky aggregations of observations as you navigate around the map – or observations that appear in unusual places (e.g., an endangered coastal plant that has been relocated out in the ocean.) Additional iNaturalist ResourcesiNaturalist GuidesiNaturalist statistics and observationsiNaturalist ForumiNaturalist within the pressSpatial Filtering options and examplesRevisionsJuly 10, 2024: Beta release of the iNaturalist Observations Live Feed service.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Any changes or deletions made to user observations through the iNaturalist app or website will not be reflected in this service until the next monthly update.

This layer contains the latest collection of research-grade species observations contributed by iNaturalist users through the iNaturalist social network app and website. These Open Data observations can be used by the GIS community to better understand biodiversity, sustainability, migration patterns, invasive and threatened species distributions, and climate change adaptations, among many other use cases.Consumption Best PracticesDue to the high volume of observations, the service limits individual point visibility to only draw at the largest scales, using multi-scale H3 hexbins to summarize predominant observations at smaller scales.Small subsets of iNaturalist observations (128,000) can be copied from the service for use in analysis, data enrichment, or other visualizations. For larger iNaturalist archive requests or for access to iNaturalist Project datasets, use the iNaturalist website, or the iNaturalist AWS S3 Open Data extract, from which this service was derived.Source: iNaturalist AWS S3 Open DataUpdate Frequency: Monthly, end of the monthSpatial Reference: WGS 1984 (WKID 4326)Area Covered: WorldAttribute InformationTaxonomy: Each observation contains its taxonomic hierarchy (Kingdom, Phylum, Class, Order, Family, Genus, Species), as well as its Scientific Name and Common Name (where available). iNaturalist Taxon Category: Observations are symbolized according to 12 unique taxonomic groups used by the iNaturalist community. User Information: All observations are credited to the iNaturalist User ID, User Login, and User Name (where provided)Media and Licenses: Direct URL links are provided to one original-resolution image from the iNaturalist observation. Creative Commons licensing also indicates the sharing and attribution of any photographic media associated with a user observation.Dates: Observations include an Observed on Date and a Modified on Date provided by iNaturalist. In addition, these date fields were added to simplify the filtering and visualization of observations by year or month:Observed on Month (integer)Observed on Year (integer)Note about Research Grade ObservationsOnly Verifiable and Research Grade observations are included in this service. An observation is Verifiable if it meets these requirements:Has a dateIs georeferenced (has lat/lon coordinates)Has photographs or soundsIsn’t of a captive or cultivated organismIn addition, a Verifiable observation moves from "Needs ID" to "Research Grade" in iNaturalist when at least 2 species-level identifications (and 2/3 of all suggested identifications) are in agreement. See here for more information on how iNaturalist assesses data quality.Note about Location PrivacyTo protect the livelihood of endangered or threatened species, the X/Y locations of some iNaturalist observations are automatically obscured to a random location in a 400 square-kilometer grid cell. Similarly, users can choose to obscure the location of their observations in the iNaturalist app settings for personal privacy reasons. The result is that you may see dense, blocky aggregations of observations as you navigate around the map – or observations that appear in unusual places (e.g., an endangered coastal plant that has been relocated out in the ocean.)Additional iNaturalist ResourcesiNaturalist Guides iNaturalist statistics and observations iNaturalist Forum iNaturalist within the press Spatial Filtering options and examplesRevisionsJuly 10, 2024: Beta release of the iNaturalist Observations Live Feed service.This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Any changes or deletions made to user observations through the iNaturalist app or website will not be reflected in this service until the next monthly update.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.-9An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.-8An '-8' means that the estimate is not applicable or not available.-6A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.-5A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.-3A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.-2A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

-9

An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.

-8

An '-8' means that the estimate is not applicable or not available.

-6

A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.

-5

A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.

-3

A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.

-2

A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

-9

An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.

-8

An '-8' means that the estimate is not applicable or not available.

-6

A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.

-5

A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.

-3

A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.

-2

A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

The American Community Survey Education Tabulation (ACS-ED) is a custom tabulation of the ACS produced for the National Center of Education Statistics (NCES) by the U.S. Census Bureau. The ACS-ED provides a rich collection of social, economic, demographic, and housing characteristics for school systems, school-age children, and the parents of school-age children. In addition to focusing on school-age children, the ACS-ED provides enrollment iterations for children enrolled in public school. The data profiles include percentages (along with associated margins of error) that allow for comparison of school district-level conditions across the U.S. For more information about the NCES ACS-ED collection, visit the NCES Education Demographic and Geographic Estimates (EDGE) program at: https://nces.ed.gov/programs/edge/Demographic/ACSAnnotation values are negative value representations of estimates and have values when non-integer information needs to be represented. See the table below for a list of common Estimate/Margin of Error (E/M) values and their corresponding Annotation (EA/MA) values.All information contained in this file is in the public domain. Data users are advised to review NCES program documentation and feature class metadata to understand the limitations and appropriate use of these data.

-9

An '-9' entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.

-8

An '-8' means that the estimate is not applicable or not available.

-6

A '-6' entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.

-5

A '-5' entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate.

-3

A '-3' entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.

-2

A '-2' entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.