Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chaffee County, CO
Series ID MHICIUBCO08015A052NCEN
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 1:53 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 23752
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27528
1994-01-01 .
1995-01-01 32501
1996-01-01 .
1997-01-01 33960
1998-01-01 35997
1999-01-01 36485
2000-01-01 38498
2001-01-01 37389
2002-01-01 37867
2003-01-01 38020
2004-01-01 39632
2005-01-01 43398
2006-01-01 42383
2007-01-01 46600
2008-01-01 50071
2009-01-01 46601
2010-01-01 45989
2011-01-01 48325
2012-01-01 47963
2013-01-01 51614
2014-01-01 52778
2015-01-01 55794
2016-01-01 52999
2017-01-01 58508
2018-01-01 61163
2019-01-01 66284
2020-01-01 73849
2021-01-01 73596
2022-01-01 83713

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