Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, CO
Series ID MHICILBCO08035A052NCEN
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 1:12 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 48686
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 60879
1994-01-01 .
1995-01-01 75280
1996-01-01 .
1997-01-01 73836
1998-01-01 80687
1999-01-01 80650
2000-01-01 84343
2001-01-01 86748
2002-01-01 87560
2003-01-01 87285
2004-01-01 88906
2005-01-01 85553
2006-01-01 90362
2007-01-01 91356
2008-01-01 96759
2009-01-01 97769
2010-01-01 94043
2011-01-01 92735
2012-01-01 94064
2013-01-01 100947
2014-01-01 101353
2015-01-01 104850
2016-01-01 106600
2017-01-01 109278
2018-01-01 116719
2019-01-01 119869
2020-01-01 115767
2021-01-01 126611
2022-01-01 136584

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