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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Laramie County, WY
Series ID MHICILBWY56021A052NCEN
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 1:11 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 26161
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30633
1994-01-01 .
1995-01-01 32056
1996-01-01 .
1997-01-01 34559
1998-01-01 37114
1999-01-01 37404
2000-01-01 38862
2001-01-01 38666
2002-01-01 39979
2003-01-01 41876
2004-01-01 43175
2005-01-01 42431
2006-01-01 47254
2007-01-01 47736
2008-01-01 53724
2009-01-01 47396
2010-01-01 47332
2011-01-01 49870
2012-01-01 50587
2013-01-01 56819
2014-01-01 52964
2015-01-01 54084
2016-01-01 57190
2017-01-01 57377
2018-01-01 59877
2019-01-01 65845
2020-01-01 64952
2021-01-01 58950
2022-01-01 67974

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