Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fremont County, WY
Series ID MHICIUBWY56013A052NCEN
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 25150
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29107
1994-01-01 .
1995-01-01 32733
1996-01-01 .
1997-01-01 32631
1998-01-01 33291
1999-01-01 33973
2000-01-01 36702
2001-01-01 35703
2002-01-01 36130
2003-01-01 37319
2004-01-01 38681
2005-01-01 39569
2006-01-01 41213
2007-01-01 49252
2008-01-01 49011
2009-01-01 46352
2010-01-01 49424
2011-01-01 49725
2012-01-01 51023
2013-01-01 54027
2014-01-01 50801
2015-01-01 55523
2016-01-01 52908
2017-01-01 54427
2018-01-01 55189
2019-01-01 62116
2020-01-01 56772
2021-01-01 62133
2022-01-01 60541
2023-01-01 68937

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