Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pondera County, MT
Series ID MHICIUBMT30073A052NCEN
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 27027
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28408
1994-01-01 .
1995-01-01 30599
1996-01-01 .
1997-01-01 31442
1998-01-01 30148
1999-01-01 30640
2000-01-01 33146
2001-01-01 31781
2002-01-01 31494
2003-01-01 31497
2004-01-01 32272
2005-01-01 34013
2006-01-01 35366
2007-01-01 38679
2008-01-01 39244
2009-01-01 37963
2010-01-01 38414
2011-01-01 40934
2012-01-01 40793
2013-01-01 44182
2014-01-01 43192
2015-01-01 45204
2016-01-01 44021
2017-01-01 46191
2018-01-01 47582
2019-01-01 53669
2020-01-01 54205
2021-01-01 53575
2022-01-01 57129

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