Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, CO
Series ID MHICIUBCO08035A052NCEN
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 1:11 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 53704
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 66227
1994-01-01 .
1995-01-01 86536
1996-01-01 .
1997-01-01 81170
1998-01-01 88582
1999-01-01 94573
2000-01-01 98637
2001-01-01 100382
2002-01-01 100758
2003-01-01 99116
2004-01-01 100783
2005-01-01 94733
2006-01-01 96184
2007-01-01 96728
2008-01-01 104228
2009-01-01 103126
2010-01-01 101569
2011-01-01 99211
2012-01-01 102788
2013-01-01 109437
2014-01-01 113147
2015-01-01 115002
2016-01-01 118198
2017-01-01 115494
2018-01-01 124621
2019-01-01 127525
2020-01-01 128813
2021-01-01 133067
2022-01-01 144952

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