Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wilson County, TX
Series ID MHICILBTX48493A052NCEN
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 2:32 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 21352
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26024
1994-01-01 .
1995-01-01 28285
1996-01-01 .
1997-01-01 30118
1998-01-01 32488
1999-01-01 35845
2000-01-01 37912
2001-01-01 37610
2002-01-01 38748
2003-01-01 39944
2004-01-01 41735
2005-01-01 42238
2006-01-01 45897
2007-01-01 51398
2008-01-01 49682
2009-01-01 52519
2010-01-01 52294
2011-01-01 51699
2012-01-01 56784
2013-01-01 55934
2014-01-01 58653
2015-01-01 64412
2016-01-01 59664
2017-01-01 65000
2018-01-01 66066
2019-01-01 72103
2020-01-01 67028
2021-01-01 72280
2022-01-01 72049
2023-01-01 77808

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