Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, MT
Series ID MHICIUBMT30057A052NCEN
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 23093
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27828
1994-01-01 .
1995-01-01 30101
1996-01-01 .
1997-01-01 31789
1998-01-01 32714
1999-01-01 32269
2000-01-01 33800
2001-01-01 33188
2002-01-01 33407
2003-01-01 33864
2004-01-01 36365
2005-01-01 37234
2006-01-01 40713
2007-01-01 43991
2008-01-01 49899
2009-01-01 45311
2010-01-01 45599
2011-01-01 46570
2012-01-01 45112
2013-01-01 48055
2014-01-01 45725
2015-01-01 54118
2016-01-01 55697
2017-01-01 55395
2018-01-01 57481
2019-01-01 62903
2020-01-01 62868
2021-01-01 68428
2022-01-01 81169

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