Claim of Healey v. Carroll
Opinion of the Court
Appeal from a decision and award of the Workmen’s Compensation Board. On April 19, 1949, Sarah Dawson, employed as a cleaner in a New York public school fell and injured her right arm. She died May 24, 1950, from causes having no connection with this accident. No compensable disability for loss of time after the accident was found by the board, but after her death a posthumous schedule award was made on the basis of a 55% loss of her right arm. The portion of the award accrued at the time of death, in the sum of $1,288.28 and an additional sum of $400 funeral expenses was made payable to her estate. Decedent left surviving her no husband, children or dependents. The general provision of the statute in a case where there is “ any compensation ” due to an injured employee at the time of death where such employee leaves no spouse, children or dependents is that the compensation “ due ” at such time is payable to his estate (Workmen’s Compensation Law, § 33). In relation to a schedule award there is also a direction where the death occurs “ from causes other than the injury”. (§ 15, subd. 4.) In such a case the award is payable to the estate if there are no “surviving dependent husband”, children or dependents, but the amount is limited to “reasonable funeral expenses” (par. d). Appellants argue that while section 33 operates to preserve a disability award for the benefit of the claimant’s estate that a schedule award is limited to funeral expenses and it is noted that Matter of Minor v. Goetz Moving & Stor. Co. (276 App. Div. 936) and Matter of Basarbovich v. National House Cleaning Contractors (275 App. Div. 1012) involved disability and not schedule awards. In Matter of Manning v. Stroh & Wilson (247 App. Div. 233), there were both disability and schedule awards and the court merely remitted the ease to the board “to make an award ”. These cases do not penetrate directly the problem before us.
Case-law data current through December 31, 2025. Source: CourtListener bulk data.