Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Park County, MT
Series ID MHICIUBMT30067A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1993-01-01 to 2022-01-01
Last Updated 2023-12-14 1:52 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
1993-01-01 26658
1994-01-01 .
1995-01-01 31647
1996-01-01 .
1997-01-01 32919
1998-01-01 33169
1999-01-01 33112
2000-01-01 35132
2001-01-01 34541
2002-01-01 34663
2003-01-01 34988
2004-01-01 36927
2005-01-01 38961
2006-01-01 39682
2007-01-01 43915
2008-01-01 43396
2009-01-01 42810
2010-01-01 40495
2011-01-01 46227
2012-01-01 43421
2013-01-01 46431
2014-01-01 46355
2015-01-01 49956
2016-01-01 49986
2017-01-01 54737
2018-01-01 64650
2019-01-01 56984
2020-01-01 64790
2021-01-01 64984
2022-01-01 75628

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