Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Garfield County, MT
Series ID MHICILBMT30033A052NCEN
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 17247
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23121
1994-01-01 .
1995-01-01 19234
1996-01-01 .
1997-01-01 21065
1998-01-01 21946
1999-01-01 25454
2000-01-01 26461
2001-01-01 26375
2002-01-01 23821
2003-01-01 26590
2004-01-01 27294
2005-01-01 25829
2006-01-01 29445
2007-01-01 29378
2008-01-01 31932
2009-01-01 29024
2010-01-01 33362
2011-01-01 31089
2012-01-01 31097
2013-01-01 34994
2014-01-01 38886
2015-01-01 41290
2016-01-01 38817
2017-01-01 38891
2018-01-01 40085
2019-01-01 37821
2020-01-01 39352
2021-01-01 43683
2022-01-01 44648

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