Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washakie County, WY
Series ID MHICILBWY56043A052NCEN
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 2:32 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 24424
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28674
1994-01-01 .
1995-01-01 29587
1996-01-01 .
1997-01-01 33451
1998-01-01 35354
1999-01-01 34312
2000-01-01 34690
2001-01-01 34856
2002-01-01 36117
2003-01-01 37887
2004-01-01 39299
2005-01-01 37961
2006-01-01 42284
2007-01-01 46603
2008-01-01 42988
2009-01-01 42536
2010-01-01 43512
2011-01-01 44829
2012-01-01 44771
2013-01-01 45757
2014-01-01 45996
2015-01-01 50858
2016-01-01 44889
2017-01-01 53142
2018-01-01 49263
2019-01-01 50050
2020-01-01 50245
2021-01-01 55415
2022-01-01 55566
2023-01-01 55169

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