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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lake County, MT
Series ID MHICIUBMT30047A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:04 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 20987
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25707
1994-01-01 .
1995-01-01 29442
1996-01-01 .
1997-01-01 30105
1998-01-01 30411
1999-01-01 29895
2000-01-01 31711
2001-01-01 30683
2002-01-01 31320
2003-01-01 32263
2004-01-01 33426
2005-01-01 38086
2006-01-01 37502
2007-01-01 37562
2008-01-01 42119
2009-01-01 39322
2010-01-01 38646
2011-01-01 40321
2012-01-01 35305
2013-01-01 41699
2014-01-01 41028
2015-01-01 42858
2016-01-01 44481
2017-01-01 45921
2018-01-01 48450
2019-01-01 52751
2020-01-01 57983
2021-01-01 56072
2022-01-01 61317
2023-01-01 65365
2024-01-01 67059

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