Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Flathead County, MT
Series ID MHICILBMT30029A052NCEN
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 21435
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25647
1994-01-01 .
1995-01-01 27926
1996-01-01 .
1997-01-01 29526
1998-01-01 31214
1999-01-01 32264
2000-01-01 33803
2001-01-01 33567
2002-01-01 33798
2003-01-01 35245
2004-01-01 37468
2005-01-01 37165
2006-01-01 41936
2007-01-01 41753
2008-01-01 40807
2009-01-01 42582
2010-01-01 39758
2011-01-01 41204
2012-01-01 42888
2013-01-01 43971
2014-01-01 44368
2015-01-01 44299
2016-01-01 47267
2017-01-01 54083
2018-01-01 49915
2019-01-01 57104
2020-01-01 52651
2021-01-01 62778
2022-01-01 63006
2023-01-01 70767

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