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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Phillips County, CO
Series ID MHICILBCO08095A052NCEN
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 22731
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26108
1994-01-01 .
1995-01-01 26079
1996-01-01 .
1997-01-01 29712
1998-01-01 30263
1999-01-01 31015
2000-01-01 31770
2001-01-01 31778
2002-01-01 30955
2003-01-01 31574
2004-01-01 32115
2005-01-01 31444
2006-01-01 33099
2007-01-01 36020
2008-01-01 38063
2009-01-01 36129
2010-01-01 40054
2011-01-01 39551
2012-01-01 41702
2013-01-01 42136
2014-01-01 42298
2015-01-01 43912
2016-01-01 43897
2017-01-01 46998
2018-01-01 46625
2019-01-01 47076
2020-01-01 48702
2021-01-01 49785
2022-01-01 62942

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