Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, MT
Series ID MHICILBMT30053A052NCEN
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 1:12 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 21546
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23016
1994-01-01 .
1995-01-01 22658
1996-01-01 .
1997-01-01 24903
1998-01-01 25454
1999-01-01 25784
2000-01-01 26385
2001-01-01 25673
2002-01-01 26176
2003-01-01 27558
2004-01-01 28254
2005-01-01 28527
2006-01-01 30473
2007-01-01 30677
2008-01-01 30319
2009-01-01 29537
2010-01-01 30772
2011-01-01 30474
2012-01-01 31497
2013-01-01 31601
2014-01-01 33206
2015-01-01 33826
2016-01-01 34132
2017-01-01 34793
2018-01-01 36620
2019-01-01 38705
2020-01-01 36929
2021-01-01 42982
2022-01-01 42532

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