NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mercer County, NJ Series ID: MHICILBNJ34021A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 35181 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 41150 1994-01-01 . 1995-01-01 44395 1996-01-01 . 1997-01-01 46418 1998-01-01 48033 1999-01-01 49168 2000-01-01 51753 2001-01-01 51023 2002-01-01 51327 2003-01-01 52343 2004-01-01 54307 2005-01-01 61340 2006-01-01 62273 2007-01-01 65604 2008-01-01 69961 2009-01-01 67279 2010-01-01 67956 2011-01-01 68487 2012-01-01 64681 2013-01-01 68691 2014-01-01 70588 2015-01-01 69417 2016-01-01 73881 2017-01-01 73933 2018-01-01 76688 2019-01-01 74603 2020-01-01 82026 2021-01-01 81482 2022-01-01 90726