Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Carroll County, NH
Series ID MHICILBNH33003A052NCEN
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 25153
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28717
1994-01-01 .
1995-01-01 29725
1996-01-01 .
1997-01-01 31970
1998-01-01 33811
1999-01-01 36026
2000-01-01 37958
2001-01-01 37925
2002-01-01 39025
2003-01-01 40626
2004-01-01 41795
2005-01-01 46562
2006-01-01 42186
2007-01-01 45469
2008-01-01 48635
2009-01-01 46399
2010-01-01 44855
2011-01-01 42443
2012-01-01 47281
2013-01-01 46893
2014-01-01 54609
2015-01-01 50246
2016-01-01 52700
2017-01-01 53732
2018-01-01 54501
2019-01-01 58661
2020-01-01 67166
2021-01-01 59929
2022-01-01 66026

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