Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hill County, MT
Series ID MHICIUBMT30041A052NCEN
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 1:52 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
1989-01-01 25627
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30370
1994-01-01 .
1995-01-01 32430
1996-01-01 .
1997-01-01 33677
1998-01-01 34145
1999-01-01 32613
2000-01-01 34470
2001-01-01 33412
2002-01-01 33301
2003-01-01 34444
2004-01-01 36705
2005-01-01 39007
2006-01-01 39947
2007-01-01 42838
2008-01-01 44257
2009-01-01 44641
2010-01-01 43381
2011-01-01 46011
2012-01-01 44717
2013-01-01 46518
2014-01-01 47526
2015-01-01 48087
2016-01-01 46060
2017-01-01 52479
2018-01-01 54579
2019-01-01 57239
2020-01-01 56879
2021-01-01 59469
2022-01-01 55173

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