Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Halifax County, NC
Series ID MHICIUBNC37083A052NCEN
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 19521
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23469
1994-01-01 .
1995-01-01 26535
1996-01-01 .
1997-01-01 27844
1998-01-01 29350
1999-01-01 27723
2000-01-01 29140
2001-01-01 27801
2002-01-01 27685
2003-01-01 28474
2004-01-01 29367
2005-01-01 30845
2006-01-01 30495
2007-01-01 31702
2008-01-01 33783
2009-01-01 32793
2010-01-01 33312
2011-01-01 33207
2012-01-01 33755
2013-01-01 35079
2014-01-01 33932
2015-01-01 33853
2016-01-01 35769
2017-01-01 36523
2018-01-01 39011
2019-01-01 42857
2020-01-01 46694
2021-01-01 43205
2022-01-01 48629

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