Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Winkler County, TX
Series ID MHICIUBTX48495A052NCEN
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 1:09 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 27735
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28903
1994-01-01 .
1995-01-01 31621
1996-01-01 .
1997-01-01 34689
1998-01-01 34853
1999-01-01 32387
2000-01-01 34751
2001-01-01 34391
2002-01-01 34057
2003-01-01 35923
2004-01-01 37702
2005-01-01 37491
2006-01-01 42205
2007-01-01 46778
2008-01-01 50014
2009-01-01 50605
2010-01-01 49371
2011-01-01 52324
2012-01-01 52915
2013-01-01 58981
2014-01-01 61128
2015-01-01 61083
2016-01-01 59056
2017-01-01 57583
2018-01-01 62985
2019-01-01 72607
2020-01-01 86021
2021-01-01 70250
2022-01-01 77455

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