Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sheridan County, WY
Series ID MHICILBWY56033A052NCEN
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 1:11 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 24794
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27712
1994-01-01 .
1995-01-01 27649
1996-01-01 .
1997-01-01 30083
1998-01-01 32516
1999-01-01 32870
2000-01-01 33891
2001-01-01 33490
2002-01-01 34373
2003-01-01 36110
2004-01-01 37803
2005-01-01 37653
2006-01-01 39857
2007-01-01 42005
2008-01-01 45117
2009-01-01 44882
2010-01-01 47524
2011-01-01 48805
2012-01-01 45872
2013-01-01 47527
2014-01-01 50383
2015-01-01 52638
2016-01-01 47752
2017-01-01 49315
2018-01-01 53532
2019-01-01 56976
2020-01-01 52263
2021-01-01 56669
2022-01-01 63271

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