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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Brown County, TX
Series ID MHICILBTX48049A052NCEN
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 18242
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20972
1994-01-01 .
1995-01-01 22219
1996-01-01 .
1997-01-01 23856
1998-01-01 25257
1999-01-01 28072
2000-01-01 29257
2001-01-01 28638
2002-01-01 28786
2003-01-01 29891
2004-01-01 30724
2005-01-01 31138
2006-01-01 32756
2007-01-01 34288
2008-01-01 37104
2009-01-01 32923
2010-01-01 34543
2011-01-01 35016
2012-01-01 40827
2013-01-01 35241
2014-01-01 38014
2015-01-01 38346
2016-01-01 40062
2017-01-01 38485
2018-01-01 42857
2019-01-01 52609
2020-01-01 43596
2021-01-01 43724
2022-01-01 49531
2023-01-01 50991
2024-01-01 54397

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