Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wilson County, TX
Series ID MHICIUBTX48493A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 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 25872
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30544
1994-01-01 .
1995-01-01 34464
1996-01-01 .
1997-01-01 36230
1998-01-01 38557
1999-01-01 41047
2000-01-01 44020
2001-01-01 43024
2002-01-01 44381
2003-01-01 45225
2004-01-01 47296
2005-01-01 49010
2006-01-01 54249
2007-01-01 59789
2008-01-01 58730
2009-01-01 59139
2010-01-01 59690
2011-01-01 62047
2012-01-01 65422
2013-01-01 65754
2014-01-01 66851
2015-01-01 73198
2016-01-01 72426
2017-01-01 76658
2018-01-01 76348
2019-01-01 81707
2020-01-01 82030
2021-01-01 85308
2022-01-01 86815

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