These datasets contain measures of internet access per United States census tract and ZIP code tabulation area (ZCTA) from the 2015-2019 American Community Survey five-year estimate. Key variables include the number and percent of households per tract or ZCTA with any type of internet subscription, with broadband internet, and with a computer or smartphone.

This dataset contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2018. The data is derived primarily from internet service providers’ Form 477 reports to the Federal Communications Commission. Key variables include the average upload and download speed of fixed broadband connections, the number of internet service providers, and the number of households with broadband.

Key indicators of broadband adoption, service and infrastructure in New York City by Zip Code.

This study contains two data files. Data file one (Broadband Internet Availability, Speed, and Adoption by Census Tract) contains measures of broadband internet availability, speed, and adoption per United States census tract in 2014 through 2020. The data is derived from internet service providers' Form 477 reports to the Federal Communications Commission. Data file two (Broadband Internet Availability and Speed by ZIP Code Tabulation Area) contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2020. The data is derived primarily from internet service providers' Form 477 reports to the Federal Communications Commission.

This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

The "Cook County Digital Equity Score by Zip Code" dataset provides comprehensive data on the digital equity score and supporting demographic information (ACS 2021 5-Year Estimates) for various zip codes in Cook County, IL. The dataset includes the Digital Equity Score, which measures the extent to which socioeconomic conditions hinder or enable access to broadband internet in each Zip Code. This score ranges from 0 to 100, where 0 indicates zip codes facing significant barriers to broadband access, while 100 represents zip codes with favorable conditions for broadband availability. Additionally, the dataset offers detailed demographic information, such as median household income, housing cost burdened households, household internet status, device availability, and minority status. These demographic variables shed light on the factors influencing digital equity and provide valuable insights into the relationship between socioeconomic conditions and broadband access within specific zip codes in Cook County.

This layer was developed by the Research & Analytics Group of the Atlanta Regional Commission, using data from the U.S. Census Bureau’s American Community Survey 5-year estimates for 2013-2017, to show populations with computer and internet access by Zip Code Tabulation Area in the Atlanta region.

The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent.

The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2013-2017). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available.

For further explanation of ACS estimates and margin of error, visit Census ACS website.

Naming conventions:

Prefixes:

None

Count

p

Percent

r

Rate

m

Median

a

Mean (average)

t

Aggregate (total)

ch

Change in absolute terms (value in t2 - value in t1)

pch

Percent change ((value in t2 - value in t1) / value in t1)

chp

Change in percent (percent in t2 - percent in t1)

Suffixes:

None

Change over two periods

_e

Estimate from most recent ACS

_m

Margin of Error from most recent ACS

_00

Decennial 2000

Attributes:

SumLevel

Summary level of geographic unit (e.g., County, Tract, NSA, NPU, DSNI, SuperDistrict, etc)

GEOID

Census tract Federal Information Processing Series (FIPS) code

NAME

Name of geographic unit

Planning_Region

Planning region designation for ARC purposes

Acres

Total area within the tract (in acres)

SqMi

Total area within the tract (in square miles)

County

County identifier (combination of Federal Information Processing Series (FIPS) codes for state and county)

CountyName

County Name

TotalHH_e

# Total households, 2017

TotalHH_m

# Total households, 2017 (MOE)

WithAComputer_e

# Households with a computer, 2017

WithAComputer_m

# Households with a computer, 2017 (MOE)

pWithAComputer_e

% Households with a computer, 2017

pWithAComputer_m

% Households with a computer, 2017 (MOE)

WithBroadband_e

# Households with broadband Internet, 2017

WithBroadband_m

# Households with broadband Internet, 2017 (MOE)

pWithBroadband_e

% Households with broadband Internet, 2017

pWithBroadband_m

% Households with broadband Internet, 2017 (MOE)

last_edited_date

Last date the feature was edited by ARC

Source: U.S. Census Bureau, Atlanta Regional Commission

Date: 2013-2017

For additional information, please visit the Census ACS website.

Discounts for Internet service through the Affordable Connectivity Program (ACP) ended June 1, 2024 due to lack of additional funding. Whether the program will receive additional funding in the future is uncertain. Please see ACP program information from the FCC for more details.The Affordable Connectivity Program (ACP) claims data set summarizes reimbursement claims submitted by participating Internet service providers for households in Detroit zip codes by month and zip code. The Affordable Connectivity Program (ACP) is a U.S. government program to help low-income households pay for Internet services and connected devices. Households that participate in ACP receive discounts on qualifying broadband Internet services of up to $30 per month and can also receive a one-time discount of up to $100 to purchase a laptop, desktop computer, or tablet. Households can qualify for ACP based on participation in Lifeline or other service provider programs for low-income households, income at or below 200% of the federal poverty guidelines, participation in other Lifeline-qualifying programs such as SNAP or Medicaid, or participation in free and reduced-price school lunch and breakfast programs. Additionally, service providers can also ask the FCC to approve an alternative verification process and use that approved process to check consumer eligibility. ACP program discounts first became available to eligible enrolled households on January 1, 2022. The ACP claims process is built on the Lifeline Claims System and this data set is derived from snapshots of all subscribers entered in the National Lifeline Accountability Database (NLAD) as of the first of each month. The ACP was created under the Infrastructure Investment and Jobs Act, also known as the Bipartisan Infrastructure Law, and is administered by the independent not-for-profit Universal Service Access Co. under the direction of the Federal Communications Commission (FCC). Eligible beneficiaries who participated in the Emergency Broadband Benefit (EBB) program that was funded by the Coronavirus Aid, Relief, and Economic Security (CARES) Act, were transitioned to ACP between January 1 and March 1, 2022. EBB was ACP's predecessor program and ran from May 12, 2021 until it was phased out on February 28, 2022. Due to the granularity of available data, claims for households located in communities adjacent to Detroit that share a zip code such as Hamtramck and Highland Park are included in this data set.Fieldsogc_fid - Zip code id.zipcode - Zip code where the enrolled household is located.postalcity - City associated with the zip code.data_month - Data month is associated with the subscriber snapshot for each claim month. If data month is listed as '5/1/2022', then the subscriber snapshot was captured on June 1, and the data represents the number of households in ACP on June 1. This is the universe of subscribers that providers can claim for the May 2022 data month.total_claimed_subscribers - Total number of enrolled households claimed for reimbursement as of the data month snapshot.total_claimed_devices - Total number of devices (laptops, desktop computers, or tablets) claimed for reimbursement as of the data month snapshot.service_support - Amount program providers claimed for reimbursement under the ACP program in the given month, in dollars. Reimbursement claims are for discounts provided to enrolled households to reduce the standard rate of an eligible broadband service and associated equipment rentals. For households that receive both Lifeline and ACP discounts and apply both benefits to their qualifying broadband service, the Lifeline discount ($9.25) is applied first and the ACP discount is then applied to the remaining amount.device_support - Amount discounted to households for purchasing a device (laptop, desktop computer, or tablet) in the given month, in dollars. Each household is eligible for a one-time reimbursement payment of up to $100 for one connected device.total_support - Sum of service support and device support in the given month, in dollars.

Uses FCC data to show True/False boolean of which counties have >50% wireless access. Additional column for # of poverty households from ACS 2015 5yr.

This layer contains the average upload speed (mbps) per zip code.Last Updated: UnknownThis 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/UtilityTelecom/MD_BroadbandSpeedTest/MapServer/5

Map used by the Washington State Broadband Office to display internet subscriptions provided by the Affordable Connectivity Program (ACP).

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. This layer contains the average upload speed (mbps) per zip code. Last Updated: Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/UtilityTelecom/MD_BroadbandSpeedTest/MapServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

This feature layer displays Affordable Connectivity Plan (ACP) Internet Subscription data provided by USAC and the Census Bureau's American Community Survey 5-Year Tables for 2017-2021. The data is shown for 2020 U.S Census Boundaries (2022 Dataset) clipped to WA State.

This layer is no longer being actively maintained. For the latest broadband availability data from FCC, please see the FCC Broadband Data Collection (BDC). This layer shows fixed broadband availability for every neighborhood in the U.S. and outlying areas for June 2023.This layer is a composite of five sublayers with adjacent scale ranges showing the broadband score across the U.S. and outlying areas, at five different geographies – State, County, Tract, Block Group and Block. The broadband score is an index based on the FCC’s minimum standard of broadband of 25 megabits per second (Mbps) download and 3 Mbps upload. A geography with speeds of 25/3 Mbps is awarded 100 points. Each type of geometry contains housing, population, and internet usage data taken from the following sources:US Census Bureau 2010 Census data (2010)USDA Non-Rural Areas (2013)FCC Form 477 Fixed Broadband Deployment Data (January - June 2021)FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data.Measurement Lab (Jan - June 2021)Broadband offering data from each provider for all geographies are available in related tables. Field Names / Record StructureThis layer includes over 150 attributes relating to reported speed and service information. In addition:Each block includes housing unit, household, and population estimates from the FCC.Each block has an attribute named WaterOnly that indicates if it is entirely water (yes/no).Each block has two attributes indicating whether it is urban or rural (CensusUrbanRural and USDAUrbanRural). For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S.Each block has three attributes indicating whether it is part of a Tribal Block Group, is part of an American Indian/Alaska Native/Native Hawaiian Area (AIANNHA) and the AIANNHA name.US Census and USDA Rurality valuesAmalgamated broadband speed measurement categories based on Form 477. These include:99: All Terrestrial Broadband Plus Satellite98: All Terrestrial Broadband97: Cable Modem96: DSL95: All Other (Electric Power Line, Other Copper Wireline, Other)The FCC Speed Values method is applied to all speeds from all data sources within this service. This includes:Geography: State, County, Tract, Block Group, BlockData source: FCC and M-LabWithin this method, speed values are shown as such:<1 Mbps, reported up to three decimal points>= 1 and < 2 Mbps, rounded to the nearest tenth>= 2 and < 10 Mbps, truncated to the lower integer>= 10 and < 1000 Mbps, rounded to the nearest integer>= 1000 Mbps, the published bandwidth = 1000 MbpsEach sublayer has a varying number of attributes from these sources, depending on what data is available for the level of granularity. The following table displays what information is included with which geometry types: GeometryFCC Form 477 Fixed (Jan - Dec 2020)FCC Demographic Estimates (2019)M-Lab (Jan - Dec 2020)BroadbandNow Avg. Min. Terrestrial Broadband Plan PricesUrban/rural flags (Census and USDA)StateYesYesYesYesNoCountyYesYesYesYesNoTractYesYesNoYesYes (U, R, S)Block GroupYesYesNoYesYes (U, R, S)BlockYesYesNoYesYes (U, R) Additional ResourcesFCC Staff Block EstimatesFixed Broadband Deployment Data from FCC Form 477Digital Divide: Broadband Pricing by State, ZIP Code, and Income Level (BroadbandUSA)Open Internet Measurement (M-Lab)Eligibility Area Map Datasets (USDA)

This layer contains the average upload speed (mbps) per zip code.Last Updated: UnknownThis is a MD iMAP hosted service layer. Find more information athttps://imap.maryland.gov.Feature Service Layer Link:https://geodata.md.gov/imap/rest/services/UtilityTelecom/MD_BroadbandSpeedTest/MapServer/5

This layer is no longer being actively maintained. For the latest broadband availability data from FCC, please see the FCC Broadband Data Collection (BDC). This layer shows fixed broadband availability for every neighborhood in the U.S. and outlying areas for June 2023.This layer is a composite of five sublayers with adjacent scale ranges showing the broadband score across the U.S. and outlying areas, at five different geographies – State, County, Tract, Block Group and Block. The broadband score is an index based on the FCC’s minimum standard of broadband of 25 megabits per second (Mbps) download and 3 Mbps upload. A geography with speeds of 25/3 Mbps is awarded 100 points. Each type of geometry contains housing, population, and internet usage data taken from the following sources:US Census Bureau 2010 Census data (2010)USDA Non-Rural Areas (2013)FCC Form 477 Fixed Broadband Deployment Data (January - June 2021)FCC Population, Housing Unit, and Household Estimates (2019). Note that these are derived from Census and other data.Measurement Lab (Jan - June 2021)Broadband offering data from each provider for all geographies are available in related tables. Field Names / Record StructureThis layer includes over 150 attributes relating to reported speed and service information. In addition:Each block includes housing unit, household, and population estimates from the FCC.Each block has an attribute named WaterOnly that indicates if it is entirely water (yes/no).Each block has two attributes indicating whether it is urban or rural (CensusUrbanRural and USDAUrbanRural). For units larger than blocks, block count (urban/rural) was used to determine this. Some tracts and block groups have an equal number of urban and rural blocks—so a new coded value was introduced: S (split). All blocks are either U or R, while tracts and block groups can be U, R, or S.Each block has three attributes indicating whether it is part of a Tribal Block Group, is part of an American Indian/Alaska Native/Native Hawaiian Area (AIANNHA) and the AIANNHA name.US Census and USDA Rurality valuesAmalgamated broadband speed measurement categories based on Form 477. These include:99: All Terrestrial Broadband Plus Satellite98: All Terrestrial Broadband97: Cable Modem96: DSL95: All Other (Electric Power Line, Other Copper Wireline, Other)The FCC Speed Values method is applied to all speeds from all data sources within this service. This includes:Geography: State, County, Tract, Block Group, BlockData source: FCC and M-LabWithin this method, speed values are shown as such:<1 Mbps, reported up to three decimal points>= 1 and < 2 Mbps, rounded to the nearest tenth>= 2 and < 10 Mbps, truncated to the lower integer>= 10 and < 1000 Mbps, rounded to the nearest integer>= 1000 Mbps, the published bandwidth = 1000 MbpsEach sublayer has a varying number of attributes from these sources, depending on what data is available for the level of granularity. The following table displays what information is included with which geometry types: GeometryFCC Form 477 Fixed (Jan - Dec 2020)FCC Demographic Estimates (2019)M-Lab (Jan - Dec 2020)BroadbandNow Avg. Min. Terrestrial Broadband Plan PricesUrban/rural flags (Census and USDA)StateYesYesYesYesNoCountyYesYesYesYesNoTractYesYesNoYesYes (U, R, S)Block GroupYesYesNoYesYes (U, R, S)BlockYesYesNoYesYes (U, R) Additional ResourcesFCC Staff Block EstimatesFixed Broadband Deployment Data from FCC Form 477Digital Divide: Broadband Pricing by State, ZIP Code, and Income Level (BroadbandUSA)Open Internet Measurement (M-Lab)Eligibility Area Map Datasets (USDA)

Computers And Internet Subscriptions Report based on US Census and American Community Survey Data.

These data were developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau across all standard and custom geographies at statewide summary level where applicable. .
For a deep dive into the data model including every specific metric, see the ACS 2018-2022 Data Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics. Find naming convention prefixes/suffixes, geography definitions and user notes below.Prefixes:NoneCountpPercentrRatemMedianaMean (average)tAggregate (total)chChange in absolute terms (value in t2 - value in t1)pchPercent change ((value in t2 - value in t1) / value in t1)chpChange in percent (percent in t2 - percent in t1)sSignificance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computedSuffixes:_e22Estimate from 2018-22 ACS_m22Margin of Error from 2018-22 ACS_e102006-10 ACS, re-estimated to 2020 geography_m10Margin of Error from 2006-10 ACS, re-estimated to 2020 geography_e10_22Change, 2010-22 (holding constant at 2020 geography)GeographiesAAA = Area Agency on Aging (12 geographic units formed from counties providing statewide coverage)ARC21 = Atlanta Regional Commission modeling area (21 counties merged to a single geographic unit)ARWDB7 = Atlanta Regional Workforce Development Board (7 counties merged to a single geographic unit)BeltLineStatistical (buffer)BeltLineStatisticalSub (subareas)Census Tract (statewide)CFGA23 = Community Foundation for Greater Atlanta (23 counties merged to a single geographic unit)City (statewide)City of Atlanta Council Districts (City of Atlanta)City of Atlanta Neighborhood Planning Unit (City of Atlanta)City of Atlanta Neighborhood Statistical Areas (City of Atlanta)County (statewide)Georgia House (statewide)Georgia Senate (statewide)HSSA = High School Statistical Area (11 county region)MetroWater15 = Atlanta Metropolitan Water District (15 counties merged to a single geographic unit)Regional Commissions (statewide)State of Georgia (single geographic unit)Superdistrict (ARC region)US Congress (statewide)UWGA13 = United Way of Greater Atlanta (13 counties merged to a single geographic unit)ZIP Code Tabulation Areas (statewide)The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2018-2022). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2018-2022Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the data manifest: https://opendata.atlantaregional.com/documents/3b86ee614e614199ba66a3ff1ebfe3b5/about