Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Teller County, CO
Series ID MHICIUBCO08119A052NCEN
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 33591
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39839
1994-01-01 .
1995-01-01 47050
1996-01-01 .
1997-01-01 48679
1998-01-01 51598
1999-01-01 53320
2000-01-01 56369
2001-01-01 56242
2002-01-01 56102
2003-01-01 54904
2004-01-01 57292
2005-01-01 61500
2006-01-01 62647
2007-01-01 63690
2008-01-01 62866
2009-01-01 57747
2010-01-01 64414
2011-01-01 65944
2012-01-01 64488
2013-01-01 67896
2014-01-01 68724
2015-01-01 72016
2016-01-01 70252
2017-01-01 73724
2018-01-01 71352
2019-01-01 78195
2020-01-01 71523
2021-01-01 84425
2022-01-01 90730

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