Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for New Hampshire
Series ID MHICILBNH33000A052NCEN
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 1:11 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 31709
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35111
1994-01-01 .
1995-01-01 36267
1996-01-01 37994
1997-01-01 40159
1998-01-01 43445
1999-01-01 45766
2000-01-01 47841
2001-01-01 49280
2002-01-01 49429
2003-01-01 50698
2004-01-01 51619
2005-01-01 55689
2006-01-01 58249
2007-01-01 61056
2008-01-01 61813
2009-01-01 59598
2010-01-01 59946
2011-01-01 61238
2012-01-01 61881
2013-01-01 62869
2014-01-01 65316
2015-01-01 68837
2016-01-01 69715
2017-01-01 72173
2018-01-01 73932
2019-01-01 76786
2020-01-01 79440
2021-01-01 86293
2022-01-01 88681

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