Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carter County, MT
Series ID MHICIUBMT30011A052NCEN
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 19610
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24412
1994-01-01 .
1995-01-01 23551
1996-01-01 .
1997-01-01 27748
1998-01-01 26283
1999-01-01 27913
2000-01-01 30086
2001-01-01 30400
2002-01-01 28137
2003-01-01 28288
2004-01-01 30382
2005-01-01 32280
2006-01-01 35547
2007-01-01 32141
2008-01-01 37555
2009-01-01 35069
2010-01-01 37492
2011-01-01 39243
2012-01-01 39153
2013-01-01 42880
2014-01-01 45027
2015-01-01 51056
2016-01-01 52351
2017-01-01 49442
2018-01-01 53343
2019-01-01 54619
2020-01-01 55836
2021-01-01 58622
2022-01-01 55408

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