Monroe

Data Resources

Key Facts

Title Monroe 2021 Connecticut 2021
% of adults, In excellent or very good health
70%
59%
% of adults, Obese
30%
30%
% of adults, Currently smoke
3%
12%
Food Insecurity Rate
5%
11%
Housing Insecurity Rate
4%
9%
Transportation Insecurity Rate
2%
13%
% of working adults, Underemployed
9%
16%
Maximum MoE on above estimates: +/- 14.1% for Monroe; +/- 1.4% for CT statewide
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Total Population
18,851
+/- 83
3,611,317
+/- 0
Population Ages 0-17
4,691
+/- 552
742,877
+/- 4,362
% of Total Population, Ages 0-17
25%
+/- 2%
21%
+/- 0%
Population Ages 65+
2,922
+/- 380
629,108
+/- 4,901
% of Total Population, Ages 65+
16%
+/- 2%
17%
+/- 0%
Population Ages 65+
2,922
+/- 380
629,108
+/- 4,901
% of Total Population, Ages 65+
16%
+/- 2%
17%
+/- 0%
Population Female
9,083
+/- 411
1,842,121
+/- 389
% of Total Population, Female
48%
+/- 2%
51%
+/- 0%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Latino Population
798
+/- 259
627,408
+/- 0
% of Total Population, Latino
4%
+/- 1%
17%
+/- 0%
White Non-Hispanic Population
16,558
+/- 581
2,308,644
+/- 2,840
% of Total Population, White Non-Hispanic
88%
+/- 3%
64%
+/- 0%
Black Non-Hispanic Population
239
+/- 150
355,970
+/- 2,699
% of Total Population, Black Non-Hispanic
1%
+/- 1%
10%
+/- 0%
Other Race Non-Hispanic Population
1,256
+/- 451
319,295
+/- 4,544
% of Total Population, Other Race Non-Hispanic
7%
+/- 2%
9%
+/- 0%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Foreign-born Population
1,846
+/- 408
542,964
+/- 7,449
% of Total Population, Foreign-born
10%
+/- 2%
15%
+/- 0%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Total Households
6,114
+/- 327
1,409,807
+/- 3,257
Owner-Occupied Households
5,684
+/- 310
932,588
+/- 6,341
Homeownership Rate
93%
+/- 1%
66%
+/- 0%
Cost-Burdened Households
1,769
+/- 334
480,042
+/- 5,742
% of Households, Cost-Burdened
29%
+/- 5%
35%
+/- 0%
Households with a car
5,939
+/- 572
1,289,318
+/- 7,778
% of Households, with a car
97%
+/- 8%
91%
+/- 0%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Population Ages 25+
12,531
+/- 395
2,520,790
+/- 424
Ages 25+ without a high school diploma
359
+/- 140
220,076
+/- 4,349
% of Population Ages 25+, without a high school diploma
3%
+/- 1%
9%
+/- 0%
Ages 25+ with a Bachelor's degree or more
6,859
+/- 686
1,043,226
+/- 7,904
% of Population Ages 25+, with a Bachelor's degree or more
55%
+/- 5%
41%
+/- 0%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Median Household Income
145,714
+/- 10,410
90,213
+/- 730
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Total Population, Poverty Status Determined
18,851
+/- 518
3,507,563
+/- 16,647
Population in Poverty
529
+/- 265
355,692
+/- 8,118
Poverty Rate
3%
+/- 1%
10%
+/- 0%
Population Low-Income
1,038
+/- 365
786,615
+/- 12,356
Low-Income Rate
6%
+/- 2%
22%
+/- 0%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Population Ages 0-17, Poverty Status Determined
4,691
+/- 723
733,553
+/- 8,266
Population Ages 0-17 In Poverty
165
+/- 105
98,183
+/- 3,343
Population Ages 0-17, Poverty Rate
4%
+/- 2%
13%
+/- 0%
Population Ages 0-17 Low-Income
243
+/- 143
210,923
+/- 4,939
Population Ages 0-17, Low-Income Rate
5%
+/- 3%
29%
+/- 1%
Title Monroe
2022 5-year
Error Connecticut
2022 5-year
Error
Population Ages 65+, Poverty Status Determined
2,922
+/- 411
609,617
+/- 6,032
Population Ages 65+ In Poverty
34
+/- 58
48,446
+/- 1,765
Population Ages 65+ Poverty Rate
1%
+/- 2%
8%
+/- 0%
Population Ages 65+ Low-Income
232
+/- 132
132,552
+/- 3,098
Population Ages 65+, Low-Income Rate
8%
+/- 4%
22%
+/- 0%

Source

Community Well-being data are from the 2021 DataHaven Community Wellbeing Survey. See definitions below for more information. All other data are from the US Census Bureau ACS 5-year estimate. The ACS surveys a sample of households on a rolling monthly basis; survey data are aggregated and averaged into 1 and 5-year period estimates. The Census Bureau considers the 5-year estimates to be the most accurate and recommends using 5-year estimates for town-level data.