Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Toole County, MT
Series ID MHICILBMT30101A052NCEN
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 1:54 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 20567
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24401
1994-01-01 .
1995-01-01 26277
1996-01-01 .
1997-01-01 27452
1998-01-01 26817
1999-01-01 27520
2000-01-01 28478
2001-01-01 27726
2002-01-01 27300
2003-01-01 28002
2004-01-01 29734
2005-01-01 30917
2006-01-01 30833
2007-01-01 34286
2008-01-01 33517
2009-01-01 33570
2010-01-01 40526
2011-01-01 34948
2012-01-01 38171
2013-01-01 40108
2014-01-01 40668
2015-01-01 39420
2016-01-01 38367
2017-01-01 42595
2018-01-01 41523
2019-01-01 43489
2020-01-01 42254
2021-01-01 43821
2022-01-01 43971

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