Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mineral County, MT
Series ID MHICILBMT30061A052NCEN
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 1:54 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 19160
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21723
1994-01-01 .
1995-01-01 22796
1996-01-01 .
1997-01-01 22875
1998-01-01 22604
1999-01-01 25182
2000-01-01 26132
2001-01-01 25805
2002-01-01 27056
2003-01-01 28002
2004-01-01 29635
2005-01-01 28642
2006-01-01 30056
2007-01-01 30967
2008-01-01 31523
2009-01-01 30624
2010-01-01 30210
2011-01-01 30720
2012-01-01 30722
2013-01-01 32593
2014-01-01 32519
2015-01-01 35478
2016-01-01 36017
2017-01-01 37898
2018-01-01 40055
2019-01-01 39035
2020-01-01 52293
2021-01-01 44758
2022-01-01 49597

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