Query the Data Delivery Network
Query the DDNThe easiest way to query any data on Splitgraph is via the "Data Delivery Network" (DDN). The DDN is a single endpoint that speaks the PostgreSQL wire protocol. Any Splitgraph user can connect to it at data.splitgraph.com:5432 and query any version of over 40,000 datasets that are hosted or proxied by Splitgraph.
For example, you can query the uninsured_population_census_data_5year_estimates table in this repository, by referencing it like:
"pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e:latest"."uninsured_population_census_data_5year_estimates"or in a full query, like:
SELECT
":id", -- Socrata column ID
"population_two_or_more_races", -- Estimated civilian non-institutionalized population of two or more races.
"population_one_race_white_4", -- Estimated percent of the white (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
"population_one_race_black", -- Estimated black or African American (one reported race only) civilian non-institutionalized population.
"population_one_race_american_1", -- Margin of Error (MOE) for the American Indian and Alaska Native (one reported race only) civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_asian_4", -- Estimated percent of the Asian (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
"population_one_race_native_1", -- Margin of Error (MOE) for the Native Hawaiian and Other Pacific Islander (one reported race only) civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_some_3", -- Margin of Error (MOE) for the civilian non-institutionalized population of some other race alone (one reported race only) that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_hispanic_or_latino", -- Estimated Hispanic or Latino (of any race) civilian non-institutionalized population.
"population_hispanic_or_latino_5", -- Margin of Error (MOE) for the percent of the Hispanic or Latino (of any race) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_white_alone_not_3", -- Margin of Error (MOE) for the white alone and not Hispanic or Latino civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_margin_of", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting any level of income estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_25_000_to_3", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income from $25,000 to $49,999 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_75_000_to_2", -- Estimated civilian non-institutionalized population in households reporting income from $75,000 to $99,999 that does not have health insurance coverage.
"household_income_75_000_to_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population in households reporting income from $75,000 to $99,999 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_100_000_2", -- Estimated civilian non-institutionalized population in households reporting income of $100,000 and over that does not have health insurance coverage.
"household_income_100_000_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population in households reporting income of $100,000 and over that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_1", -- Margin of Error (MOE) for the civilian non-institutionalized population for whom poverty status is determined estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_2", -- Estimated civilian non-institutionalized population for whom poverty status is determined that does not have health insurance coverage.
"acs_date_period", -- The 5-year period for the estimated average population.
"population_one_race_native", -- Estimated Native Hawaiian and Other Pacific Islander (one reported race only) civilian non-institutionalized population.
"population_one_race_some", -- Estimated civilian non-institutionalized population of some other race alone (one reported race only).
"population_one_race_some_1", -- Margin of Error (MOE) for the civilian non-institutionalized population of some other race alone (one reported race only) estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_two_or_more_races_2", -- Estimated civilian non-institutionalized population of two or more races that does not have health insurance coverage.
"population_two_or_more_races_1", -- Margin of Error (MOE) for the civilian non-institutionalized population of two or more races estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_two_or_more_races_3", -- Margin of Error (MOE) for the civilian non-institutionalized population of two or more races that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_two_or_more_races_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population of two or more races that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_hispanic_or_latino_1", -- Margin of Error (MOE) for the Hispanic or Latino (of any race) civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_hispanic_or_latino_2", -- Estimated Hispanic or Latino (of any race) civilian non-institutionalized population that does not have health insurance coverage.
"population_hispanic_or_latino_3", -- Margin of Error (MOE) for the Hispanic or Latino (of any race) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_hispanic_or_latino_4", -- Estimated percent of the Hispanic or Latino (of any race) civilian non-institutionalized population that does not have health insurance coverage.
"population_white_alone_not_1", -- Margin of Error (MOE) for the white alone and not Hispanic or Latino civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_white_alone_not_4", -- Estimated percent of the white alone and not Hispanic or Latino civilian non-institutionalized population that does not have health insurance coverage.
"population_white_alone_not_5", -- Margin of Error (MOE) for the percent of the white alone and not Hispanic or Latino civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income", -- Estimated civilian non-institutionalized population in households reporting any level of income.
"household_income_uninsured", -- Estimated civilian non-institutionalized population in households reporting any level of income that does not have health insurance coverage.
"household_income_uninsured_1", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting any level of income that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_uninsured_3", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population in households reporting any level of income that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_under_25", -- Estimated civilian non-institutionalized population in households reporting income of less than $25,000.
"household_income_under_25_3", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income of less than $25,000 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_under_25_4", -- Estimated percent of the civilian non-institutionalized population in households reporting income of less than $25,000 that does not have health insurance coverage.
"household_income_under_25_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population in households reporting income of less than $25,000 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_25_000_to_1", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income from $25,000 to $49,999 estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_25_000_to_2", -- Estimated civilian non-institutionalized population in households reporting income from $25,000 to $49,999 that does not have health insurance coverage.
"household_income_25_000_to_4", -- Estimated percent of the civilian non-institutionalized population in households reporting income from $25,000 to $49,999 that does not have health insurance coverage.
"household_income_25_000_to_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population in households reporting income from $25,000 to $49,999 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_50_000_to", -- Estimated civilian non-institutionalized population in households reporting income from $50,000 to $74,999.
"household_income_50_000_to_1", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income from $50,000 to $74,999 estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_50_000_to_2", -- Estimated civilian non-institutionalized population in households reporting income from $50,000 to $74,999 that does not have health insurance coverage.
"household_income_50_000_to_3", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income from $50,000 to $74,999 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_50_000_to_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population in households reporting income from $50,000 to $74,999 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_75_000_to_1", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income from $75,000 to $99,999 estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_75_000_to_3", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income from $75,000 to $99,999 that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_75_000_to_4", -- Estimated percent of the civilian non-institutionalized population in households reporting income from $75,000 to $99,999 that does not have health insurance coverage.
"household_income_100_000", -- Estimated civilian non-institutionalized population in households reporting income of $100,000 and over.
"household_income_100_000_3", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income of $100,000 and over that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_100_000_4", -- Estimated percent of the civilian non-institutionalized population in households reporting income of $100,000 and over that does not have health insurance coverage.
"ratio_of_income_to_poverty", -- Estimated civilian non-institutionalized population for whom poverty status is determined.
"ratio_of_income_to_poverty_3", -- Margin of Error (MOE) for the civilian non-institutionalized population for whom poverty status is determined that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population for whom poverty status is determined that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_6", -- Estimated civilian non-institutionalized population whose poverty status is under 138% of the poverty level.
"ratio_of_income_to_poverty_7", -- Margin of Error (MOE) for the civilian non-institutionalized population whose poverty status is under 138% of the poverty level estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_8", -- Estimated civilian non-institutionalized population whose poverty status is under 138% of the poverty level that does not have health insurance coverage.
"ratio_of_income_to_poverty_9", -- Margin of Error (MOE) for the civilian non-institutionalized population whose poverty status is under 138% of the poverty level that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_10", -- Estimated percent of the civilian non-institutionalized population whose poverty status is under 138% of the poverty level that does not have health insurance coverage.
"ratio_of_income_to_poverty_11", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population whose poverty status is under 138% of the poverty level that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_12", -- Estimated civilian non-institutionalized population whose poverty status is between 138% and 199% of the poverty level.
"ratio_of_income_to_poverty_13", -- Margin of Error (MOE) for the civilian non-institutionalized population whose poverty status is between 138% and 199% of the poverty level estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_14", -- Estimated civilian non-institutionalized population whose poverty status is between 138% and 199% of the poverty level that does not have health insurance coverage.
"ratio_of_income_to_poverty_15", -- Margin of Error (MOE) for the civilian non-institutionalized population whose poverty status is between 138% and 199% of the poverty level that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"ratio_of_income_to_poverty_16", -- Estimated percent of the civilian non-institutionalized population whose poverty status is between 138% and 199% of the poverty level that does not have health insurance coverage.
"ratio_of_income_to_poverty_17", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population whose poverty status is between 138% and 199% of the poverty level that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_two_or_more_races_4", -- Estimated percent of the civilian non-institutionalized population of two or more races that does not have health insurance coverage.
"household_income_uninsured_2", -- Estimated percent of the civilian non-institutionalized population in households reporting any level of income that does not have health insurance coverage.
"household_income_under_25_1", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income of less than $25,000 estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_under_25_2", -- Estimated civilian non-institutionalized population in households reporting income of less than $25,000 that does not have health insurance coverage.
"household_income_50_000_to_4", -- Estimated percent of the civilian non-institutionalized population in households reporting income from $50,000 to $74,999 that does not have health insurance coverage.
"ratio_of_income_to_poverty_4", -- Estimated percent of the civilian non-institutionalized population for whom poverty status is determined that does not have health insurance coverage.
"population_margin_of_error", -- Margin of Error (MOE) for the total civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"georeferenced_county_centroid", -- Generic Latitude and Longitude point within each county to assist in the creation of visualizations such as maps.
"county_fips", -- The FIPS county code is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states. This is the 3-digit part of the 5-digit county FIPS code specifically standing for the county.
"population", -- Estimated civilian non-institutionalized population.
"uninsured", -- Estimated civilian non-institutionalized population that does not have health insurance coverage.
"uninsured_percent_margin", -- Margin of Error (MOE) for the percent of the total civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"uninsured_margin_of_error", -- Margin of Error (MOE) for the civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"uninsured_percent", -- Estimated percent of the total civilian non-institutionalized population that does not have health insurance coverage.
"population_6_18_years_1", -- Estimated civilian non-institutionalized population 6 to 18 years of age that does not have health insurance coverage.
"population_65_years_and_older", -- Estimated civilian non-institutionalized population 65 years of age and older.
"population_65_years_and_older_4", -- Estimated percent of the civilian non-institutionalized population 65 years of age and older that does not have health insurance coverage.
"population_male_uninsured_1", -- Margin of Error (MOE) for the male civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_female_uninsured", -- Estimated female civilian non-institutionalized population that does not have health insurance coverage.
"population_under_6_years", -- Estimated civilian non-institutionalized population under 6 years of age.
"population_under_6_years_1", -- Margin of Error (MOE) for the civilian non-institutionalized population under 6 years of age estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_under_6_years_3", -- Margin of Error (MOE) for the civilian non-institutionalized population under 6 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_under_6_years_4", -- Estimated percent of the civilian non-institutionalized population under 6 years of age that does not have health insurance coverage.
"population_under_6_years_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population under 6 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_6_18_years", -- Estimated civilian non-institutionalized population 6 to 18 years of age.
"population_6_18_years_margin", -- Margin of Error (MOW) for the civilian non-institutionalized population 6 to 18 years of age estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_6_18_years_2", -- Margin of Error (MOE) for the civilian non-institutionalized population 6 to 18 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_6_18_years_3", -- Estimated percent of the civilian non-institutionalized population 6 to 18 years of age that does not have health insurance coverage.
"population_6_18_years_4", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population 6 to 18 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_under_19_years", -- Estimated civilian non-institutionalized population under 19 years of age.
"population_under_19_years_1", -- Margin of Error (MOE) for the civilian non-institutionalized population under 19 years of age estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_under_19_years_2", -- Estimated civilian non-institutionalized population under 19 years of age that does not have health insurance coverage.
"population_under_19_years_3", -- Margin of Error (MOE) for the civilian non-institutionalized population under 19 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_under_19_years_4", -- Estimated percent of the civilian non-institutionalized population under 19 years of age that does not have health insurance coverage.
"population_under_19_years_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population under 19 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_19_64_years", -- Estimated civilian non-institutionalized population 19 to 64 years of age.
"population_19_64_years_margin", -- Margin of Error (MOE) for the civilian non-institutionalized population 19 to 64 years of age estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_19_64_years_1", -- Estimated civilian non-institutionalized population 19 to 64 years of age that does not have health insurance coverage.
"population_19_64_years_2", -- Margin of Error (MOE) for the civilian non-institutionalized population 19 to 64 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_19_64_years_3", -- Estimated percent of the civilian non-institutionalized population 19 to 64 years of age that does not have health insurance coverage.
"population_19_64_years_4", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population 19 to 64 years of age that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_65_years_and_older_2", -- Estimated civilian non-institutionalized population 65 years of age and older that does not have health insurance coverage.
"population_65_years_and_older_3", -- Margin of Error (MOE) for the civilian non-institutionalized population 65 years of age and older that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_65_years_and_older_5", -- Margin of Error (MOE) for the percent of the civilian non-institutionalized population 65 years of age and older that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_male_margin_of", -- Margin of Error (MOE) for the male civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_male_uninsured_2", -- Estimated percent of the male civilian non-institutionalized population that does not have health insurance coverage.
"population_male_uninsured_3", -- Margin of Error (MOE) for the percent of the male civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_female", -- Estimated female civilian non-institutionalized population.
"population_female_margin", -- Margin of Error (MOE) for the female civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_female_uninsured_1", -- Margin of Error (MOE) for the female civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_female_uninsured_2", -- Estimated percent of the female civilian non-institutionalized population that does not have health insurance coverage.
"population_female_uninsured_3", -- Margin of Error (MOE) for the percent of the female civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_american_5", -- Margin of Error (MOE) for the percent of the American Indian and Alaska Native (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An blank 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. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_black_3", -- Margin of Error (MOE) for the black or African American (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_white_1", -- Margin of Error (MOE) for the white (one reported race only) civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_white", -- Estimated white (one reported race only) civilian non-institutionalized population.
"population_male_uninsured", -- Estimated male civilian non-institutionalized population that does not have health insurance coverage.
"population_65_years_and_older_1", -- Margin of Error (MOE) for the civilian non-institutionalized population 65 years of age and older estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_under_6_years_2", -- Estimated civilian non-institutionalized population under 6 years of age that does not have health insurance coverage.
"household_income_100_000_1", -- Margin of Error (MOE) for the civilian non-institutionalized population in households reporting income of $100,000 and over estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"household_income_75_000_to", -- Estimated civilian non-institutionalized population in households reporting income from $75,000 to $99,999.
"household_income_25_000_to", -- Estimated civilian non-institutionalized population in households reporting income from $25,000 to $49,999.
"population_white_alone_not", -- Estimated white alone and not Hispanic or Latino civilian non-institutionalized population.
"population_one_race_asian_2", -- Estimated Asian (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
"population_one_race_american_2", -- Estimated American Indian and Alaska Native (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
"population_male", -- Estimated male civilian non-institutionalized population.
"population_white_alone_not_2", -- Estimated white alone and not Hispanic or Latino civilian non-institutionalized population that does not have health insurance coverage.
"county", -- Name of the county.
":@computed_region_rayf_jjgk",
":@computed_region_r6rf_p9et",
":@computed_region_amqz_jbr4",
"population_one_race_white_2", -- Estimated white (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
":@computed_region_nmsq_hqvv",
"acs_release_year", -- The data release year for the estimates.
":@computed_region_d3gw_znnf",
"population_one_race_white_3", -- Margin of Error (MOE) for the white (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_white_5", -- Margin of Error (MOE) for the percent of the white (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_black_1", -- Margin of Error (MOE) for the black or African American (one reported race only) civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_black_2", -- Estimated black or African American (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
"population_one_race_black_4", -- Estimated percent of the black or African American (one reported race only) civilian non-institutionalized population that does not have health insurance coverage. An blank 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, or the margin of error associated with a median was larger than the median itself.
"population_one_race_black_5", -- Margin of Error (MOE) for the percent of the black or African American (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An blank 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. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_american", -- Estimated American Indian and Alaska Native (one reported race only) civilian non-institutionalized population.
"population_one_race_american_3", -- Margin of Error (MOE) for the American Indian and Alaska Native (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_american_4", -- Estimated percent of the American Indian and Alaska Native (one reported race only) civilian non-institutionalized population that does not have health insurance coverage. An blank 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, or the margin of error associated with a median was larger than the median itself.
"population_one_race_asian", -- Estimated Asian (one reported race only) civilian non-institutionalized population.
"population_one_race_asian_1", -- Margin of Error (MOE) for the Asian (one reported race only) civilian non-institutionalized population estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_asian_3", -- Margin of Error (MOE) for the Asian (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_asian_5", -- Margin of Error (MOE) for the percent of the Asian (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_native_2", -- Estimated Native Hawaiian and Other Pacific Islander (one reported race only) civilian non-institutionalized population that does not have health insurance coverage.
"population_one_race_native_3", -- Margin of Error (MOE) for the Native Hawaiian and Other Pacific Islander (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_native_4", -- Estimated percent of the Native Hawaiian and Other Pacific Islander (one reported race only) civilian non-institutionalized population that does not have health insurance coverage. An blank 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, or the margin of error associated with a median was larger than the median itself.
"population_one_race_native_5", -- Margin of Error (MOE) for the percent of the Native Hawaiian and Other Pacific Islander (one reported race only) civilian non-institutionalized population that does not have health insurance coverage estimate. An blank 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. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
"population_one_race_some_2", -- Estimated civilian non-institutionalized population of some other race alone (one reported race only) that does not have health insurance coverage.
"population_one_race_some_4", -- Estimated percent of the civilian non-institutionalized population of some other race alone (one reported race only) that does not have health insurance coverage. An blank 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, or the margin of error associated with a median was larger than the median itself.
"population_one_race_some_5" -- Margin of Error (MOE) for the civilian non-institutionalized population of some other race alone (one reported race only) that does not have health insurance coverage estimate. An blank 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. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.
FROM
"pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e:latest"."uninsured_population_census_data_5year_estimates"
LIMIT 100;Connecting to the DDN is easy. All you need is an existing SQL client that can connect to Postgres. As long as you have a SQL client ready, you'll be able to query pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e with SQL in under 60 seconds.
Query Your Local Engine
Install Splitgraph Locally
bash -c "$(curl -sL https://github.com/splitgraph/splitgraph/releases/latest/download/install.sh)"Read the installation docs.
Splitgraph Cloud is built around Splitgraph Core (GitHub), which includes a local Splitgraph Engine packaged as a Docker image. Splitgraph Cloud is basically a scaled-up version of that local Engine. When you query the Data Delivery Network or the REST API, we mount the relevant datasets in an Engine on our servers and execute your query on it.
It's possible to run this engine locally. You'll need a Mac, Windows or Linux system to install sgr, and a Docker installation to run the engine. You don't need to know how to actually use Docker; sgrcan manage the image, container and volume for you.
There are a few ways to ingest data into the local engine.
For external repositories, the Splitgraph Engine can "mount" upstream data sources by using sgr mount. This feature is built around Postgres Foreign Data Wrappers (FDW). You can write custom "mount handlers" for any upstream data source. For an example, we blogged about making a custom mount handler for HackerNews stories.
For hosted datasets (like this repository), where the author has pushed Splitgraph Images to the repository, you can "clone" and/or "checkout" the data using sgr cloneand sgr checkout.
Cloning Data
Because pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e:latest is a Splitgraph Image, you can clone the data from Spltgraph Cloud to your local engine, where you can query it like any other Postgres database, using any of your existing tools.
First, install Splitgraph if you haven't already.
Clone the metadata with sgr clone
This will be quick, and does not download the actual data.
sgr clone pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4eCheckout the data
Once you've cloned the data, you need to "checkout" the tag that you want. For example, to checkout the latest tag:
sgr checkout pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e:latestThis will download all the objects for the latest tag of pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e and load them into the Splitgraph Engine. Depending on your connection speed and the size of the data, you will need to wait for the checkout to complete. Once it's complete, you will be able to query the data like you would any other Postgres database.
Alternatively, use "layered checkout" to avoid downloading all the data
The data in pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e:latest is 0 bytes. If this is too big to download all at once, or perhaps you only need to query a subset of it, you can use a layered checkout.:
sgr checkout --layered pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e:latestThis will not download all the data, but it will create a schema comprised of foreign tables, that you can query as you would any other data. Splitgraph will lazily download the required objects as you query the data. In some cases, this might be faster or more efficient than a regular checkout.
Read the layered querying documentation to learn about when and why you might want to use layered queries.
Query the data with your existing tools
Once you've loaded the data into your local Splitgraph Engine, you can query it with any of your existing tools. As far as they're concerned, pa-gov/uninsured-population-census-data-5year-estimates-neqb-cw4e is just another Postgres schema.