Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Swisher County, TX
Series ID MHICIUBTX48437A052NCEN
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 23147
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27148
1994-01-01 .
1995-01-01 28179
1996-01-01 .
1997-01-01 31238
1998-01-01 32635
1999-01-01 31664
2000-01-01 32993
2001-01-01 32245
2002-01-01 29730
2003-01-01 31123
2004-01-01 31773
2005-01-01 34898
2006-01-01 35067
2007-01-01 35273
2008-01-01 37426
2009-01-01 35278
2010-01-01 37030
2011-01-01 39174
2012-01-01 40628
2013-01-01 38968
2014-01-01 41526
2015-01-01 44701
2016-01-01 43019
2017-01-01 45196
2018-01-01 47789
2019-01-01 49704
2020-01-01 45676
2021-01-01 51261
2022-01-01 58874

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