Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Colorado County, TX

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Colorado County, TX
Series ID MHICILBTX48089A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2024-01-01
Last Updated 2026-02-09 7:08 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 18496
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21568
1994-01-01 .
1995-01-01 23775
1996-01-01 .
1997-01-01 25868
1998-01-01 27012
1999-01-01 29464
2000-01-01 30358
2001-01-01 29976
2002-01-01 29728
2003-01-01 30538
2004-01-01 31797
2005-01-01 31968
2006-01-01 33726
2007-01-01 35553
2008-01-01 35679
2009-01-01 37998
2010-01-01 38131
2011-01-01 39485
2012-01-01 37259
2013-01-01 38736
2014-01-01 42648
2015-01-01 43443
2016-01-01 43062
2017-01-01 43987
2018-01-01 43674
2019-01-01 53121
2020-01-01 45762
2021-01-01 57439
2022-01-01 52328
2023-01-01 54676
2024-01-01 60211

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