Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Park County, WY
Series ID MHICIUBWY56029A052NCEN
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 28619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33429
1994-01-01 .
1995-01-01 35776
1996-01-01 .
1997-01-01 38060
1998-01-01 39821
1999-01-01 38521
2000-01-01 40529
2001-01-01 40075
2002-01-01 40541
2003-01-01 41288
2004-01-01 42455
2005-01-01 44473
2006-01-01 46618
2007-01-01 46982
2008-01-01 50345
2009-01-01 51399
2010-01-01 54304
2011-01-01 53479
2012-01-01 55157
2013-01-01 55593
2014-01-01 60251
2015-01-01 60390
2016-01-01 64970
2017-01-01 61302
2018-01-01 64151
2019-01-01 65050
2020-01-01 71684
2021-01-01 69962
2022-01-01 76738
2023-01-01 78240

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