Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Piscataquis County, ME
Series ID MHICILBME23021A052NCEN
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 19584
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23555
1994-01-01 .
1995-01-01 23412
1996-01-01 .
1997-01-01 25481
1998-01-01 26211
1999-01-01 26673
2000-01-01 27650
2001-01-01 27140
2002-01-01 27709
2003-01-01 28959
2004-01-01 29851
2005-01-01 29721
2006-01-01 30233
2007-01-01 30738
2008-01-01 31853
2009-01-01 31855
2010-01-01 31653
2011-01-01 33461
2012-01-01 33732
2013-01-01 33225
2014-01-01 34437
2015-01-01 33244
2016-01-01 32837
2017-01-01 37342
2018-01-01 36558
2019-01-01 41358
2020-01-01 43075
2021-01-01 45129
2022-01-01 48857

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