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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mason County, TX
Series ID MHICILBTX48319A052NCEN
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 7:07 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 14999
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16953
1994-01-01 .
1995-01-01 16246
1996-01-01 .
1997-01-01 18708
1998-01-01 19251
1999-01-01 26695
2000-01-01 28166
2001-01-01 27728
2002-01-01 28641
2003-01-01 30191
2004-01-01 31746
2005-01-01 31474
2006-01-01 33106
2007-01-01 33977
2008-01-01 35183
2009-01-01 33085
2010-01-01 35077
2011-01-01 35180
2012-01-01 38094
2013-01-01 37886
2014-01-01 38282
2015-01-01 40740
2016-01-01 40187
2017-01-01 41982
2018-01-01 44069
2019-01-01 48324
2020-01-01 54704
2021-01-01 49631
2022-01-01 51710
2023-01-01 54184
2024-01-01 63056

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