Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hill County, MT
Series ID MHICILBMT30041A052NCEN
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 21344
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25673
1994-01-01 .
1995-01-01 26716
1996-01-01 .
1997-01-01 27780
1998-01-01 28199
1999-01-01 28650
2000-01-01 29786
2001-01-01 29205
2002-01-01 29111
2003-01-01 30412
2004-01-01 32347
2005-01-01 32730
2006-01-01 34751
2007-01-01 35472
2008-01-01 36425
2009-01-01 36916
2010-01-01 35975
2011-01-01 38017
2012-01-01 37671
2013-01-01 39970
2014-01-01 39492
2015-01-01 40269
2016-01-01 37350
2017-01-01 44461
2018-01-01 45693
2019-01-01 46523
2020-01-01 42589
2021-01-01 49285
2022-01-01 45863
2023-01-01 45682

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