Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Park County, WY
Series ID MHICILBWY56029A052NCEN
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 24304
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29145
1994-01-01 .
1995-01-01 30167
1996-01-01 .
1997-01-01 32225
1998-01-01 34004
1999-01-01 33900
2000-01-01 35100
2001-01-01 35073
2002-01-01 35465
2003-01-01 36496
2004-01-01 37440
2005-01-01 37680
2006-01-01 39352
2007-01-01 40698
2008-01-01 45261
2009-01-01 43130
2010-01-01 45812
2011-01-01 46803
2012-01-01 46849
2013-01-01 46341
2014-01-01 50457
2015-01-01 50664
2016-01-01 56272
2017-01-01 53936
2018-01-01 53595
2019-01-01 53938
2020-01-01 54502
2021-01-01 56610
2022-01-01 62866
2023-01-01 62420

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