Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cottle County, TX
Series ID MHICIUBTX48101A052NCEN
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 18616
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20490
1994-01-01 .
1995-01-01 21116
1996-01-01 .
1997-01-01 24313
1998-01-01 25116
1999-01-01 26560
2000-01-01 28287
2001-01-01 27652
2002-01-01 27204
2003-01-01 28406
2004-01-01 29062
2005-01-01 30657
2006-01-01 30051
2007-01-01 33535
2008-01-01 32442
2009-01-01 31928
2010-01-01 34968
2011-01-01 35653
2012-01-01 33267
2013-01-01 35512
2014-01-01 36229
2015-01-01 39245
2016-01-01 38415
2017-01-01 40082
2018-01-01 42494
2019-01-01 45429
2020-01-01 51218
2021-01-01 50202
2022-01-01 51203
2023-01-01 58787

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