Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cascade County, MT
Series ID MHICILBMT30013A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 22970
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26169
1994-01-01 .
1995-01-01 27413
1996-01-01 .
1997-01-01 28682
1998-01-01 29631
1999-01-01 30560
2000-01-01 31530
2001-01-01 31241
2002-01-01 31323
2003-01-01 32521
2004-01-01 33380
2005-01-01 35459
2006-01-01 36989
2007-01-01 39536
2008-01-01 39634
2009-01-01 37410
2010-01-01 40144
2011-01-01 39992
2012-01-01 39037
2013-01-01 40976
2014-01-01 39978
2015-01-01 42854
2016-01-01 42885
2017-01-01 44658
2018-01-01 47315
2019-01-01 48104
2020-01-01 48117
2021-01-01 53066
2022-01-01 54371
2023-01-01 60118

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