Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kaufman County, TX
Series ID MHICIUBTX48257A052NCEN
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 27360
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32155
1994-01-01 .
1995-01-01 36999
1996-01-01 .
1997-01-01 38520
1998-01-01 40402
1999-01-01 44155
2000-01-01 47596
2001-01-01 46577
2002-01-01 47693
2003-01-01 49103
2004-01-01 50664
2005-01-01 53885
2006-01-01 55997
2007-01-01 57250
2008-01-01 61330
2009-01-01 58799
2010-01-01 59906
2011-01-01 63105
2012-01-01 58159
2013-01-01 65485
2014-01-01 62038
2015-01-01 65720
2016-01-01 65519
2017-01-01 70424
2018-01-01 72265
2019-01-01 79779
2020-01-01 83661
2021-01-01 78459
2022-01-01 97343

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