Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henderson County, TX
Series ID MHICIUBTX48213A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:11 AM 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 23486
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25755
1994-01-01 .
1995-01-01 29306
1996-01-01 .
1997-01-01 31444
1998-01-01 32847
1999-01-01 33311
2000-01-01 35333
2001-01-01 34494
2002-01-01 34207
2003-01-01 34594
2004-01-01 35183
2005-01-01 36471
2006-01-01 37580
2007-01-01 41612
2008-01-01 43181
2009-01-01 42315
2010-01-01 39319
2011-01-01 40915
2012-01-01 41030
2013-01-01 42248
2014-01-01 42861
2015-01-01 47964
2016-01-01 46575
2017-01-01 48352
2018-01-01 46539
2019-01-01 54074
2020-01-01 58164
2021-01-01 54418
2022-01-01 66263
2023-01-01 62917

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