Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Denver County, CO
Series ID MHICIUBCO08031A052NCEN
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 26762
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31405
1994-01-01 .
1995-01-01 34402
1996-01-01 .
1997-01-01 38219
1998-01-01 41619
1999-01-01 41482
2000-01-01 44394
2001-01-01 43214
2002-01-01 42531
2003-01-01 43356
2004-01-01 44148
2005-01-01 43990
2006-01-01 42575
2007-01-01 46348
2008-01-01 47796
2009-01-01 48722
2010-01-01 46748
2011-01-01 49322
2012-01-01 51911
2013-01-01 52341
2014-01-01 56695
2015-01-01 60321
2016-01-01 62413
2017-01-01 67416
2018-01-01 70662
2019-01-01 77164
2020-01-01 78579
2021-01-01 83411
2022-01-01 90971

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