Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kaufman County, TX
Series ID MHICILBTX48257A052NCEN
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 22932
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27698
1994-01-01 .
1995-01-01 30870
1996-01-01 .
1997-01-01 32417
1998-01-01 34397
1999-01-01 38635
2000-01-01 40843
2001-01-01 40612
2002-01-01 41563
2003-01-01 43296
2004-01-01 44675
2005-01-01 46106
2006-01-01 47797
2007-01-01 50620
2008-01-01 55664
2009-01-01 51881
2010-01-01 53892
2011-01-01 56867
2012-01-01 51929
2013-01-01 56523
2014-01-01 53132
2015-01-01 55156
2016-01-01 59207
2017-01-01 61460
2018-01-01 62603
2019-01-01 70239
2020-01-01 69043
2021-01-01 68861
2022-01-01 88285
2023-01-01 83920

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