Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wyoming

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wyoming
Series ID MHICILBWY56000A052NCEN
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 2024-01-01
Last Updated 2026-02-09 11:51 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 28369
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27719
1994-01-01 .
1995-01-01 29147
1996-01-01 29348
1997-01-01 31563
1998-01-01 34118
1999-01-01 36133
2000-01-01 37098
2001-01-01 38461
2002-01-01 37990
2003-01-01 40007
2004-01-01 42247
2005-01-01 44349
2006-01-01 46692
2007-01-01 51323
2008-01-01 53061
2009-01-01 52985
2010-01-01 52440
2011-01-01 54596
2012-01-01 53854
2013-01-01 56946
2014-01-01 56701
2015-01-01 59768
2016-01-01 59882
2017-01-01 59760
2018-01-01 60969
2019-01-01 64261
2020-01-01 65198
2021-01-01 64077
2022-01-01 68846
2023-01-01 71435
2024-01-01 74754

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