Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, ME
Series ID MHICILBME23007A052NCEN
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 21764
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24993
1994-01-01 .
1995-01-01 25572
1996-01-01 .
1997-01-01 27619
1998-01-01 28618
1999-01-01 29108
2000-01-01 30278
2001-01-01 29640
2002-01-01 30367
2003-01-01 31965
2004-01-01 32778
2005-01-01 32305
2006-01-01 34376
2007-01-01 36890
2008-01-01 33565
2009-01-01 36662
2010-01-01 35914
2011-01-01 36097
2012-01-01 34055
2013-01-01 38276
2014-01-01 37899
2015-01-01 39483
2016-01-01 39394
2017-01-01 40897
2018-01-01 47215
2019-01-01 46605
2020-01-01 43777
2021-01-01 47936
2022-01-01 48393

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