Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kinney County, TX
Series ID MHICIUBTX48271A052NCEN
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 2:31 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 18039
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19996
1994-01-01 .
1995-01-01 22929
1996-01-01 .
1997-01-01 25028
1998-01-01 26928
1999-01-01 28758
2000-01-01 30958
2001-01-01 29820
2002-01-01 30547
2003-01-01 31880
2004-01-01 33382
2005-01-01 34598
2006-01-01 35088
2007-01-01 31304
2008-01-01 39229
2009-01-01 38443
2010-01-01 39153
2011-01-01 41816
2012-01-01 42617
2013-01-01 45445
2014-01-01 43492
2015-01-01 45069
2016-01-01 45117
2017-01-01 47421
2018-01-01 48057
2019-01-01 52949
2020-01-01 63905
2021-01-01 56866
2022-01-01 59262
2023-01-01 60111

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