Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Converse County, WY
Series ID MHICIUBWY56009A052NCEN
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 1:51 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 31285
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35294
1994-01-01 .
1995-01-01 37381
1996-01-01 .
1997-01-01 40995
1998-01-01 42861
1999-01-01 43013
2000-01-01 44889
2001-01-01 44817
2002-01-01 45942
2003-01-01 47718
2004-01-01 49850
2005-01-01 51684
2006-01-01 56221
2007-01-01 58770
2008-01-01 63040
2009-01-01 64154
2010-01-01 63940
2011-01-01 64467
2012-01-01 68435
2013-01-01 68119
2014-01-01 69438
2015-01-01 75780
2016-01-01 75242
2017-01-01 72190
2018-01-01 75485
2019-01-01 81004
2020-01-01 89071
2021-01-01 82863
2022-01-01 87722

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