Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Knox County, ME
Series ID MHICILBME23013A052NCEN
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 21214
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26160
1994-01-01 .
1995-01-01 27848
1996-01-01 .
1997-01-01 30401
1998-01-01 31882
1999-01-01 33647
2000-01-01 35275
2001-01-01 35050
2002-01-01 35948
2003-01-01 37497
2004-01-01 38409
2005-01-01 37168
2006-01-01 38994
2007-01-01 41042
2008-01-01 41173
2009-01-01 41426
2010-01-01 39454
2011-01-01 43133
2012-01-01 43972
2013-01-01 44993
2014-01-01 47164
2015-01-01 43366
2016-01-01 50176
2017-01-01 47619
2018-01-01 52705
2019-01-01 51140
2020-01-01 61993
2021-01-01 63991
2022-01-01 59566

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