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Indicator Gauge Icon Legend

Legend Colors

Red is bad, green is good, blue is not statistically different/neutral.

Compared to Distribution

an indicator guage with the arrow in the green the value is in the best half of communities.

an indicator guage with the arrow in the yellow the value is in the 2nd worst quarter of communities.

an indicator guage with the arrow in the red the value is in the worst quarter of communities.

Compared to Target

green circle with white tick inside it meets target; red circle with white cross inside it does not meet target.

Compared to a Single Value

green diamond with downward arrow inside it lower than the comparison value; red diamond with downward arrow inside it higher than the comparison value; blue diamond with downward arrow inside it not statistically different from comparison value.

Trend

green square outline with upward trending arrow inside it green square outline with downward trending arrow inside it non-significant change over time; green square with upward trending arrow inside it green square with downward trending arrow inside it significant change over time; blue square with equals sign no change over time.

Compared to Prior Value

green triangle with upward trending arrow inside it higher than the previous measurement period; green triangle with downward trending arrow inside it lower than the previous measurement period; blue equals sign no statistically different change  from previous measurement period.

green chart bars Significantly better than the overall value

red chart bars Significantly worse than the overall value

light blue chart bars No significant difference with the overall value

gray chart bars No data on significance available

More information about the gauges and icons

Overcrowded Households

County: Cameron
Measurement Period: 2018-2022
This indicator shows the households where there are more people than rooms of all types, besides bathrooms.
 
Numerator = Total estimate of housing units with 1.01 or more occupants per room
Denominator = Total estimate of occupied housing units

Why is this important?

Overcrowded housing goes hand-in-hand with low-paying essential jobs. People forced by poverty into overcrowded homes are much more likely to be people of color, due to discriminatory housing, education and banking policies that have segregated neighborhoods and prevented non-white families from amassing wealth. Overcrowding has been associated with increased communicable disease transmission and increased accidents. In the age of COVID-19, people of color also are more likely to live in overcrowded households and suffer chronic conditions, such as diabetes or high blood pressure, that can worsen COVID-19 outcomes.
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10.0%
Source: American Community Survey 5-Year
Measurement period: 2018-2022
Maintained by: Conduent Healthy Communities Institute
Last update: February 2024
Filter(s) for this location: Region: Rio Grande Valley
Compared to See the Legend
Technical note: The U.S. Census Bureau calculates 90% confidence intervals for American Community Survey estimates. Use caution when interpreting values with wide confidence intervals. Confidence intervals that are farther away from estimates in either direction indicate uncertainty due to small survey sample sizes. The U.S. Census Bureau does not recommend comparing overlapping 5-year periods since much of the data in each estimate are the same. Use caution when comparing estimates for census tracts over time as these geographies are redefined with each decennial census according to population changes.
More details:
Data for this indicator can be found in tables B25014 (overall and type of household breakout values) and B25014B-I (race/ethnicity breakout values) on data.census.gov.
 
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Overcrowded Households

:
Comparison:
Measurement Period: 2018-2022
Data Source: American Community Survey 5-Year
November 21, 2024www.rgvhealthconnect.org
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10.0%
10.2%
11.4%
12.0%

Data Source

Filed under: Economy / Housing & Homes, Health / Immunizations & Infectious Diseases, Environmental Health / Built Environment, Physical Determinants of Health