Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Berkshire County, MA
Series ID MHICILBMA25003A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 27793
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30589
1994-01-01 .
1995-01-01 31529
1996-01-01 .
1997-01-01 34311
1998-01-01 35050
1999-01-01 35334
2000-01-01 36753
2001-01-01 36440
2002-01-01 37157
2003-01-01 37923
2004-01-01 39105
2005-01-01 41769
2006-01-01 43697
2007-01-01 44784
2008-01-01 43082
2009-01-01 40927
2010-01-01 42153
2011-01-01 41392
2012-01-01 44242
2013-01-01 49143
2014-01-01 46940
2015-01-01 47369
2016-01-01 52454
2017-01-01 52528
2018-01-01 54222
2019-01-01 55583
2020-01-01 60019
2021-01-01 58432
2022-01-01 65609
2023-01-01 69296

Subscribe to the FRED newsletter


Follow us

Back to Top