Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Waldo County, ME
Series ID MHICIUBME23027A052NCEN
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 23643
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27774
1994-01-01 .
1995-01-01 30543
1996-01-01 .
1997-01-01 32728
1998-01-01 33878
1999-01-01 34920
2000-01-01 37606
2001-01-01 36578
2002-01-01 37723
2003-01-01 38989
2004-01-01 40398
2005-01-01 40790
2006-01-01 44407
2007-01-01 43171
2008-01-01 46509
2009-01-01 43030
2010-01-01 40255
2011-01-01 45194
2012-01-01 42972
2013-01-01 46169
2014-01-01 48992
2015-01-01 46250
2016-01-01 51800
2017-01-01 56775
2018-01-01 53193
2019-01-01 55281
2020-01-01 60159
2021-01-01 62976
2022-01-01 68860

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