Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Toole County, MT
Series ID MHICIUBMT30101A052NCEN
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 1:11 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 25158
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29245
1994-01-01 .
1995-01-01 32531
1996-01-01 .
1997-01-01 33877
1998-01-01 33469
1999-01-01 31612
2000-01-01 33280
2001-01-01 32091
2002-01-01 31528
2003-01-01 32024
2004-01-01 34127
2005-01-01 36927
2006-01-01 37160
2007-01-01 41632
2008-01-01 40833
2009-01-01 40906
2010-01-01 47824
2011-01-01 43018
2012-01-01 45943
2013-01-01 48396
2014-01-01 49746
2015-01-01 48338
2016-01-01 47011
2017-01-01 51197
2018-01-01 51129
2019-01-01 55407
2020-01-01 56882
2021-01-01 54773
2022-01-01 55729

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