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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kendall County, TX
Series ID MHICIUBTX48259A052NCEN
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 7:01 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 30668
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36899
1994-01-01 .
1995-01-01 42192
1996-01-01 .
1997-01-01 42309
1998-01-01 45621
1999-01-01 51710
2000-01-01 54843
2001-01-01 54924
2002-01-01 57529
2003-01-01 58958
2004-01-01 61816
2005-01-01 63847
2006-01-01 65349
2007-01-01 73289
2008-01-01 77872
2009-01-01 77941
2010-01-01 73410
2011-01-01 78554
2012-01-01 74422
2013-01-01 82605
2014-01-01 85152
2015-01-01 86794
2016-01-01 90542
2017-01-01 99242
2018-01-01 99601
2019-01-01 105721
2020-01-01 116496
2021-01-01 114096
2022-01-01 131677
2023-01-01 123054
2024-01-01 133418

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