Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Valley County, MT
Series ID MHICILBMT30105A052NCEN
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 20974
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24278
1994-01-01 .
1995-01-01 24934
1996-01-01 .
1997-01-01 26440
1998-01-01 26693
1999-01-01 28629
2000-01-01 29834
2001-01-01 29464
2002-01-01 29078
2003-01-01 30333
2004-01-01 32337
2005-01-01 31179
2006-01-01 32543
2007-01-01 33874
2008-01-01 36486
2009-01-01 34508
2010-01-01 36897
2011-01-01 43501
2012-01-01 37728
2013-01-01 42021
2014-01-01 41730
2015-01-01 41982
2016-01-01 42391
2017-01-01 42593
2018-01-01 43335
2019-01-01 45803
2020-01-01 40360
2021-01-01 48646
2022-01-01 76958

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