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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gallatin County, MT
Series ID MHICIUBMT30031A052NCEN
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 1:11 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 26487
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31336
1994-01-01 .
1995-01-01 37416
1996-01-01 .
1997-01-01 38603
1998-01-01 39465
1999-01-01 39825
2000-01-01 42498
2001-01-01 42181
2002-01-01 42620
2003-01-01 43341
2004-01-01 45295
2005-01-01 47607
2006-01-01 49582
2007-01-01 54002
2008-01-01 55750
2009-01-01 50190
2010-01-01 51803
2011-01-01 53695
2012-01-01 54662
2013-01-01 59729
2014-01-01 54982
2015-01-01 59499
2016-01-01 63680
2017-01-01 66292
2018-01-01 71091
2019-01-01 78318
2020-01-01 76306
2021-01-01 85130
2022-01-01 88264

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