Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Judith Basin County, MT
Series ID MHICIUBMT30045A052NCEN
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 23212
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27021
1994-01-01 .
1995-01-01 27477
1996-01-01 .
1997-01-01 29763
1998-01-01 29759
1999-01-01 30022
2000-01-01 32116
2001-01-01 30864
2002-01-01 29415
2003-01-01 28972
2004-01-01 31819
2005-01-01 33928
2006-01-01 36823
2007-01-01 39197
2008-01-01 40816
2009-01-01 38954
2010-01-01 38930
2011-01-01 41422
2012-01-01 42563
2013-01-01 45817
2014-01-01 47543
2015-01-01 50194
2016-01-01 49206
2017-01-01 48569
2018-01-01 55159
2019-01-01 55093
2020-01-01 58463
2021-01-01 57491
2022-01-01 66875

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