Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Washington County, ME
Series ID MHICILBME23029A052NCEN
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 16720
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20711
1994-01-01 .
1995-01-01 21572
1996-01-01 .
1997-01-01 22533
1998-01-01 22906
1999-01-01 24546
2000-01-01 25211
2001-01-01 24739
2002-01-01 25181
2003-01-01 26619
2004-01-01 27280
2005-01-01 27626
2006-01-01 29724
2007-01-01 30120
2008-01-01 30049
2009-01-01 29255
2010-01-01 30669
2011-01-01 31289
2012-01-01 34922
2013-01-01 33427
2014-01-01 35900
2015-01-01 33085
2016-01-01 35081
2017-01-01 34615
2018-01-01 36178
2019-01-01 35980
2020-01-01 43882
2021-01-01 39209
2022-01-01 52788

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