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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Platte County, WY
Series ID MHICIUBWY56031A052NCEN
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 1:51 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 28564
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28717
1994-01-01 .
1995-01-01 32115
1996-01-01 .
1997-01-01 34811
1998-01-01 35652
1999-01-01 35886
2000-01-01 38716
2001-01-01 38249
2002-01-01 38956
2003-01-01 39525
2004-01-01 40776
2005-01-01 42050
2006-01-01 40804
2007-01-01 47019
2008-01-01 48787
2009-01-01 49846
2010-01-01 47617
2011-01-01 52734
2012-01-01 49959
2013-01-01 53514
2014-01-01 54894
2015-01-01 57142
2016-01-01 59985
2017-01-01 56095
2018-01-01 60114
2019-01-01 62974
2020-01-01 68655
2021-01-01 66930
2022-01-01 68796

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