Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, MT
Series ID MHICIUBMT30053A052NCEN
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 25882
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27404
1994-01-01 .
1995-01-01 28508
1996-01-01 .
1997-01-01 30949
1998-01-01 31457
1999-01-01 29339
2000-01-01 30545
2001-01-01 29395
2002-01-01 30002
2003-01-01 31218
2004-01-01 31983
2005-01-01 32287
2006-01-01 35440
2007-01-01 36683
2008-01-01 36447
2009-01-01 35815
2010-01-01 37044
2011-01-01 36838
2012-01-01 38031
2013-01-01 38251
2014-01-01 40262
2015-01-01 40736
2016-01-01 41454
2017-01-01 41721
2018-01-01 44584
2019-01-01 48633
2020-01-01 48073
2021-01-01 53330
2022-01-01 54332

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