Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cheyenne County, CO
Series ID MHICILBCO08017A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 22716
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29555
1994-01-01 .
1995-01-01 29993
1996-01-01 .
1997-01-01 31655
1998-01-01 34003
1999-01-01 34687
2000-01-01 34890
2001-01-01 34571
2002-01-01 29808
2003-01-01 33485
2004-01-01 34165
2005-01-01 35634
2006-01-01 34650
2007-01-01 39682
2008-01-01 41398
2009-01-01 37826
2010-01-01 40175
2011-01-01 42400
2012-01-01 47042
2013-01-01 45546
2014-01-01 47365
2015-01-01 45295
2016-01-01 45218
2017-01-01 45162
2018-01-01 48608
2019-01-01 46844
2020-01-01 47587
2021-01-01 51282
2022-01-01 54996
2023-01-01 56297

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