Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chaffee County, CO
Series ID MHICILBCO08015A052NCEN
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 19201
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23004
1994-01-01 .
1995-01-01 26305
1996-01-01 .
1997-01-01 27785
1998-01-01 29910
1999-01-01 31982
2000-01-01 33117
2001-01-01 32633
2002-01-01 33030
2003-01-01 33557
2004-01-01 34967
2005-01-01 36842
2006-01-01 36142
2007-01-01 38328
2008-01-01 41761
2009-01-01 38604
2010-01-01 38851
2011-01-01 39987
2012-01-01 41339
2013-01-01 44410
2014-01-01 44902
2015-01-01 46100
2016-01-01 46755
2017-01-01 48582
2018-01-01 51173
2019-01-01 54378
2020-01-01 54591
2021-01-01 58378
2022-01-01 66589

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