About this Dataset

Connecticut Town Population Projections, 2015-2025

These projections are created based upon several datasets and while these estimates are developed based on multiple data sources, actual population changes may vary from these projections. To assist in planning, analysis, and decision making, the population projections have been developed based on state and locally derived fertility rates.
Organization: State of Connecticut
Last updated: 2020-11-12T14:56:58.762437
Tags: census, population-projections, state-data-center

Tables

Table 1

@usgov.state_of_connecticut_connecticut_town_population_proje_d4dc9b35.table_1

202.85 kB
169 rows
129 columns

CREATE TABLE table_1 (
  "town" VARCHAR,
  "n_2015_total" BIGINT  -- 2015 Total,
  "n_2015_male_total" BIGINT  -- 2015 Male Total,
  "n_2015_male_00_04" BIGINT  -- 2015 Male 00-04,
  "n_2015_male_05_09" BIGINT  -- 2015 Male 05-09,
  "n_2015_male_10_14" BIGINT  -- 2015 Male 10-14,
  "n_2015_male_15_19" BIGINT  -- 2015 Male 15-19,
  "n_2015_male_20_24" BIGINT  -- 2015 Male 20-24,
  "n_2015_male_25_29" BIGINT  -- 2015 Male 25-29,
  "n_2015_male_30_34" BIGINT  -- 2015 Male 30-34,
  "n_2015_male_35_39" BIGINT  -- 2015 Male 35-39,
  "n_2015_male_40_44" BIGINT  -- 2015 Male 40-44,
  "n_2015_male_45_49" BIGINT  -- 2015 Male 45-49,
  "n_2015_male_50_54" BIGINT  -- 2015 Male 50-54,
  "n_2015_male_55_59" BIGINT  -- 2015 Male 55-59,
  "n_2015_male_60_64" BIGINT  -- 2015 Male 60-64,
  "n_2015_male_65_69" BIGINT  -- 2015 Male 65-69,
  "n_2015_male_70_74" BIGINT  -- 2015 Male 70-74,
  "n_2015_male_75_79" BIGINT  -- 2015 Male 75-79,
  "n_2015_male_80_84" BIGINT  -- 2015 Male 80-84,
  "n_2015_male_85_89" BIGINT  -- 2015 Male 85-89,
  "n_2015_male_90_ov" BIGINT  -- 2015 Male 90-OV,
  "n_2015_female_total" BIGINT  -- 2015 Female Total,
  "n_2015_female_00_04" BIGINT  -- 2015 Female 00-04,
  "n_2015_female_05_09" BIGINT  -- 2015 Female 05-09,
  "n_2015_female_10_14" BIGINT  -- 2015 Female 10-14,
  "n_2015_female_15_19" BIGINT  -- 2015 Female 15-19,
  "n_2015_female_20_24" BIGINT  -- 2015 Female 20-24,
  "n_2015_female_25_29" BIGINT  -- 2015 Female 25-29,
  "n_2015_female_30_34" BIGINT  -- 2015 Female 30-34,
  "n_2015_female_35_39" BIGINT  -- 2015 Female 35-39,
  "n_2015_female_40_44" BIGINT  -- 2015 Female 40-44,
  "n_2015_female_45_49" BIGINT  -- 2015 Female 45-49,
  "n_2015_female_50_54" BIGINT  -- 2015 Female 50-54,
  "n_2015_female_55_59" BIGINT  -- 2015 Female 55-59,
  "n_2015_female_60_64" BIGINT  -- 2015 Female 60-64,
  "n_2015_female_65_69" BIGINT  -- 2015 Female 65-69,
  "n_2015_female_70_74" BIGINT  -- 2015 Female 70-74,
  "n_2015_female_75_79" BIGINT  -- 2015 Female 75-79,
  "n_2015_female_80_84" BIGINT  -- 2015 Female 80-84,
  "n_2015_female_85_89" BIGINT  -- 2015 Female 85-89,
  "n_2015_female_90_ov" BIGINT  -- 2015 Female 90-OV,
  "n_2020_total" BIGINT  -- 2020 Total,
  "n_2020_male_total" BIGINT  -- 2020 Male Total,
  "n_2020_male_00_04" BIGINT  -- 2020 Male 00-04,
  "n_2020_male_05_09" BIGINT  -- 2020 Male 05-09,
  "n_2020_male_10_14" BIGINT  -- 2020 Male 10-14,
  "n_2020_male_15_19" BIGINT  -- 2020 Male 15-19,
  "n_2020_male_20_24" BIGINT  -- 2020 Male 20-24,
  "n_2020_male_25_29" BIGINT  -- 2020 Male 25-29,
  "n_2020_male_30_34" BIGINT  -- 2020 Male 30-34,
  "n_2020_male_35_39" BIGINT  -- 2020 Male 35-39,
  "n_2020_male_40_44" BIGINT  -- 2020 Male 40-44,
  "n_2020_male_45_49" BIGINT  -- 2020 Male 45-49,
  "n_2020_male_50_54" BIGINT  -- 2020 Male 50-54,
  "n_2020_male_55_59" BIGINT  -- 2020 Male 55-59,
  "n_2020_male_60_64" BIGINT  -- 2020 Male 60-64,
  "n_2020_male_65_69" BIGINT  -- 2020 Male 65-69,
  "n_2020_male_70_74" BIGINT  -- 2020 Male 70-74,
  "n_2020_male_75_79" BIGINT  -- 2020 Male 75-79,
  "n_2020_male_80_84" BIGINT  -- 2020 Male 80-84,
  "n_2020_male_85_89" BIGINT  -- 2020 Male 85-89,
  "n_2020_male_90_ov" BIGINT  -- 2020 Male 90-OV,
  "n_2020_female_total" BIGINT  -- 2020 Female Total,
  "n_2020_female_00_04" BIGINT  -- 2020 Female 00-04,
  "n_2020_female_05_09" BIGINT  -- 2020 Female 05-09,
  "n_2020_female_10_14" BIGINT  -- 2020 Female 10-14,
  "n_2020_female_15_19" BIGINT  -- 2020 Female 15-19,
  "n_2020_female_20_24" BIGINT  -- 2020 Female 20-24,
  "n_2020_female_25_29" BIGINT  -- 2020 Female 25-29,
  "n_2020_female_30_34" BIGINT  -- 2020 Female 30-34,
  "n_2020_female_35_39" BIGINT  -- 2020 Female 35-39,
  "n_2020_female_40_44" BIGINT  -- 2020 Female 40-44,
  "n_2020_female_45_49" BIGINT  -- 2020 Female 45-49,
  "n_2020_female_50_54" BIGINT  -- 2020 Female 50-54,
  "n_2020_female_55_59" BIGINT  -- 2020 Female 55-59,
  "n_2020_female_60_64" BIGINT  -- 2020 Female 60-64,
  "n_2020_female_65_69" BIGINT  -- 2020 Female 65-69,
  "n_2020_female_70_74" BIGINT  -- 2020 Female 70-74,
  "n_2020_female_75_79" BIGINT  -- 2020 Female 75-79,
  "n_2020_female_80_84" BIGINT  -- 2020 Female 80-84,
  "n_2020_female_85_89" BIGINT  -- 2020 Female 85-89,
  "n_2020_female_90_ov" BIGINT  -- 2020 Female 90-OV,
  "n_2025_total" BIGINT  -- 2025 Total,
  "n_2025_male_total" BIGINT  -- 2025 Male Total,
  "n_2025_male_00_04" BIGINT  -- 2025 Male 00-04,
  "n_2025_male_05_09" BIGINT  -- 2025 Male 05-09,
  "n_2025_male_10_14" BIGINT  -- 2025 Male 10-14,
  "n_2025_male_15_19" BIGINT  -- 2025 Male 15-19,
  "n_2025_male_20_24" BIGINT  -- 2025 Male 20-24,
  "n_2025_male_25_29" BIGINT  -- 2025 Male 25-29,
  "n_2025_male_30_34" BIGINT  -- 2025 Male 30-34,
  "n_2025_male_35_39" BIGINT  -- 2025 Male 35-39,
  "n_2025_male_40_44" BIGINT  -- 2025 Male 40-44,
  "n_2025_male_45_49" BIGINT  -- 2025 Male 45-49,
  "n_2025_male_50_54" BIGINT  -- 2025 Male 50-54,
  "n_2025_male_55_59" BIGINT  -- 2025 Male 55-59,
  "n_2025_male_60_64" BIGINT  -- 2025 Male 60-64,
  "n_2025_male_65_69" BIGINT  -- 2025 Male 65-69,
  "n_2025_male_70_74" BIGINT  -- 2025 Male 70-74
);