Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hampshire County, MA
Series ID MHICILBMA25015A052NCEN
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 30614
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34425
1994-01-01 .
1995-01-01 36484
1996-01-01 .
1997-01-01 39353
1998-01-01 41549
1999-01-01 41095
2000-01-01 43931
2001-01-01 43131
2002-01-01 43392
2003-01-01 43994
2004-01-01 45485
2005-01-01 46034
2006-01-01 50353
2007-01-01 51769
2008-01-01 59570
2009-01-01 53258
2010-01-01 54675
2011-01-01 51700
2012-01-01 55001
2013-01-01 57759
2014-01-01 53688
2015-01-01 57472
2016-01-01 60188
2017-01-01 63758
2018-01-01 70377
2019-01-01 70311
2020-01-01 69764
2021-01-01 72088
2022-01-01 77785

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