Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sweetwater County, WY
Series ID MHICIUBWY56037A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 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 38683
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 46079
1994-01-01 .
1995-01-01 49924
1996-01-01 .
1997-01-01 52091
1998-01-01 53884
1999-01-01 51636
2000-01-01 53856
2001-01-01 53763
2002-01-01 54245
2003-01-01 55803
2004-01-01 58129
2005-01-01 60761
2006-01-01 63381
2007-01-01 70493
2008-01-01 75372
2009-01-01 72352
2010-01-01 72753
2011-01-01 74736
2012-01-01 69660
2013-01-01 78679
2014-01-01 77425
2015-01-01 77454
2016-01-01 80418
2017-01-01 81990
2018-01-01 79489
2019-01-01 87841
2020-01-01 79331
2021-01-01 82426
2022-01-01 84101
2023-01-01 83756

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