Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wheeler County, TX
Series ID MHICILBTX48483A052NCEN
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 1:53 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 20215
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21148
1994-01-01 .
1995-01-01 22985
1996-01-01 .
1997-01-01 25705
1998-01-01 25947
1999-01-01 28463
2000-01-01 29931
2001-01-01 30319
2002-01-01 28703
2003-01-01 32195
2004-01-01 33533
2005-01-01 34558
2006-01-01 34122
2007-01-01 36007
2008-01-01 39175
2009-01-01 39012
2010-01-01 37445
2011-01-01 41810
2012-01-01 42536
2013-01-01 47536
2014-01-01 47473
2015-01-01 47191
2016-01-01 42692
2017-01-01 41201
2018-01-01 42709
2019-01-01 55132
2020-01-01 43586
2021-01-01 43258
2022-01-01 49839

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