Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sagadahoc County, ME
Series ID MHICIUBME23023A052NCEN
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 1:52 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 34050
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38465
1994-01-01 .
1995-01-01 40151
1996-01-01 .
1997-01-01 42912
1998-01-01 44538
1999-01-01 43793
2000-01-01 45894
2001-01-01 45388
2002-01-01 46197
2003-01-01 47586
2004-01-01 49045
2005-01-01 51348
2006-01-01 52307
2007-01-01 55656
2008-01-01 57383
2009-01-01 59327
2010-01-01 55612
2011-01-01 54925
2012-01-01 55077
2013-01-01 56128
2014-01-01 60561
2015-01-01 60603
2016-01-01 64457
2017-01-01 66247
2018-01-01 70260
2019-01-01 71292
2020-01-01 75819
2021-01-01 81141
2022-01-01 80660

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