Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Colorado County, TX
Series ID MHICIUBTX48089A052NCEN
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 1:51 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 23012
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26088
1994-01-01 .
1995-01-01 29912
1996-01-01 .
1997-01-01 32046
1998-01-01 33126
1999-01-01 33534
2000-01-01 35236
2001-01-01 34382
2002-01-01 34108
2003-01-01 34646
2004-01-01 36067
2005-01-01 38254
2006-01-01 38717
2007-01-01 43081
2008-01-01 43203
2009-01-01 44149
2010-01-01 44659
2011-01-01 45417
2012-01-01 44145
2013-01-01 46140
2014-01-01 50320
2015-01-01 52123
2016-01-01 53260
2017-01-01 54213
2018-01-01 52842
2019-01-01 58093
2020-01-01 59690
2021-01-01 66569
2022-01-01 67094

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