Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kerr County, TX
Series ID MHICIUBTX48265A052NCEN
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 24874
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27689
1994-01-01 .
1995-01-01 31530
1996-01-01 .
1997-01-01 33646
1998-01-01 34792
1999-01-01 35028
2000-01-01 36943
2001-01-01 36762
2002-01-01 37549
2003-01-01 38191
2004-01-01 39556
2005-01-01 41134
2006-01-01 43588
2007-01-01 45820
2008-01-01 45815
2009-01-01 47528
2010-01-01 44793
2011-01-01 49389
2012-01-01 44250
2013-01-01 45373
2014-01-01 48180
2015-01-01 51505
2016-01-01 53452
2017-01-01 54307
2018-01-01 58468
2019-01-01 62429
2020-01-01 65036
2021-01-01 65387
2022-01-01 64642

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