Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for El Paso County, CO
Series ID MHICILBCO08041A052NCEN
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 26200
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32123
1994-01-01 .
1995-01-01 36556
1996-01-01 .
1997-01-01 39316
1998-01-01 41041
1999-01-01 42980
2000-01-01 45949
2001-01-01 45789
2002-01-01 45832
2003-01-01 46683
2004-01-01 47637
2005-01-01 48718
2006-01-01 51750
2007-01-01 53688
2008-01-01 57362
2009-01-01 53587
2010-01-01 50711
2011-01-01 52836
2012-01-01 53521
2013-01-01 54795
2014-01-01 57168
2015-01-01 58295
2016-01-01 61485
2017-01-01 63538
2018-01-01 65740
2019-01-01 70899
2020-01-01 69838
2021-01-01 76338
2022-01-01 79753

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