Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cascade County, MT
Series ID MHICIUBMT30013A052NCEN
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 1:52 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 27030
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30290
1994-01-01 .
1995-01-01 32775
1996-01-01 .
1997-01-01 34281
1998-01-01 35202
1999-01-01 34621
2000-01-01 36274
2001-01-01 35604
2002-01-01 35734
2003-01-01 36697
2004-01-01 37682
2005-01-01 40294
2006-01-01 41303
2007-01-01 44463
2008-01-01 45422
2009-01-01 43458
2010-01-01 43510
2011-01-01 45058
2012-01-01 45347
2013-01-01 46372
2014-01-01 45828
2015-01-01 48340
2016-01-01 48253
2017-01-01 51106
2018-01-01 52793
2019-01-01 55360
2020-01-01 58597
2021-01-01 61104
2022-01-01 63997

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