Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Meagher County, MT
Series ID MHICILBMT30059A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 14352
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17602
1994-01-01 .
1995-01-01 17423
1996-01-01 .
1997-01-01 19337
1998-01-01 18952
1999-01-01 23451
2000-01-01 25768
2001-01-01 24790
2002-01-01 23283
2003-01-01 24038
2004-01-01 25426
2005-01-01 26380
2006-01-01 27345
2007-01-01 30225
2008-01-01 27028
2009-01-01 29377
2010-01-01 26451
2011-01-01 32365
2012-01-01 29511
2013-01-01 32357
2014-01-01 33317
2015-01-01 37784
2016-01-01 35534
2017-01-01 38532
2018-01-01 39635
2019-01-01 38948
2020-01-01 36778
2021-01-01 40082
2022-01-01 47760
2023-01-01 48090

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