Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rosebud County, MT
Series ID MHICIUBMT30087A052NCEN
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 3:11 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 32719
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35197
1994-01-01 .
1995-01-01 37689
1996-01-01 .
1997-01-01 38045
1998-01-01 38689
1999-01-01 38054
2000-01-01 39953
2001-01-01 39577
2002-01-01 40042
2003-01-01 41256
2004-01-01 43385
2005-01-01 45061
2006-01-01 47442
2007-01-01 49424
2008-01-01 50424
2009-01-01 49727
2010-01-01 48687
2011-01-01 50263
2012-01-01 53711
2013-01-01 55229
2014-01-01 55618
2015-01-01 57001
2016-01-01 59400
2017-01-01 59419
2018-01-01 62255
2019-01-01 64324
2020-01-01 62433
2021-01-01 68871
2022-01-01 71809
2023-01-01 67854

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