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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Logan County, CO
Series ID MHICILBCO08075A052NCEN
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 1:54 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 22546
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25100
1994-01-01 .
1995-01-01 27227
1996-01-01 .
1997-01-01 29959
1998-01-01 30735
1999-01-01 31275
2000-01-01 32208
2001-01-01 31996
2002-01-01 31930
2003-01-01 32176
2004-01-01 32498
2005-01-01 32901
2006-01-01 34479
2007-01-01 36766
2008-01-01 38262
2009-01-01 36965
2010-01-01 37353
2011-01-01 39919
2012-01-01 38784
2013-01-01 39735
2014-01-01 40807
2015-01-01 42183
2016-01-01 44190
2017-01-01 45159
2018-01-01 47713
2019-01-01 52757
2020-01-01 50017
2021-01-01 48432
2022-01-01 52102

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