Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Belknap County, NH
Series ID MHICIUBNH33001A052NCEN
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 32651
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36524
1994-01-01 .
1995-01-01 39597
1996-01-01 .
1997-01-01 41782
1998-01-01 43277
1999-01-01 44757
2000-01-01 48615
2001-01-01 48027
2002-01-01 48950
2003-01-01 49816
2004-01-01 51155
2005-01-01 52627
2006-01-01 54120
2007-01-01 58961
2008-01-01 54480
2009-01-01 56811
2010-01-01 57596
2011-01-01 59481
2012-01-01 58016
2013-01-01 60931
2014-01-01 64071
2015-01-01 67875
2016-01-01 61685
2017-01-01 69020
2018-01-01 70452
2019-01-01 75700
2020-01-01 83366
2021-01-01 80158
2022-01-01 83692

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