Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Carroll County, NH
Series ID MHICIUBNH33003A052NCEN
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 1:51 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 29779
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33221
1994-01-01 .
1995-01-01 35589
1996-01-01 .
1997-01-01 38014
1998-01-01 39805
1999-01-01 40935
2000-01-01 43837
2001-01-01 43310
2002-01-01 44630
2003-01-01 45958
2004-01-01 47278
2005-01-01 52705
2006-01-01 49894
2007-01-01 52753
2008-01-01 53492
2009-01-01 51734
2010-01-01 51617
2011-01-01 48721
2012-01-01 53709
2013-01-01 54303
2014-01-01 60503
2015-01-01 58456
2016-01-01 60972
2017-01-01 62278
2018-01-01 64325
2019-01-01 70329
2020-01-01 78980
2021-01-01 73819
2022-01-01 77936

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